Effects of Boundary Conditions and Friction on Static Buckling of Pipe in a Horizontal Well
A. Awwad, R.C. Xin, Z.F. Dong, M.A. Ebadian and H.M. Soliman, Measurement and correlation of the pre
Pra o egmn
Int. J. Multiphase Flow Vol. 21, No. 4, pp. 607-619, 1995 Copyright © 1995 Elsevier Science Ltd 0301-9322(95)00011-9 Printed in Great Britain. All rights reserved 0301-9322/95 $9.50 + 0.00
Key Words: two-phase flow, pressure drop, correlation, helicoidal pipe
INTRODUCTION Helicoidal pipes are used extensively in c o m p a c t heat exchangers, boilers, refrigerators, nuclear reactors, chemical plants, as well as the food, drug and cryogenics industries. Either single-phase flow or two-phase flow can occur in helicoidal pipes, depending on specific applications. A literature survey indicates that n u m e r o u s publications can be f o u n d dealing with flow p h e n o m e n a and the pressure d r o p o f single-phase flow in a helicoidal pipe (Berger & Talbot 1983). However, two-phase flow in helicoidal pipes has rarely been investigated as c o m p a r e d to single-phase flow studies. A m o n g the limited investigations, most were conducted for two-phase flow in vertical helicoidal pipes. Some o f the experimental results indicate that the frictional pressure drop o f two-phase flow in a vertical helicoidal pipe can be predicted using the correlations for a straight pipe provided by L o c k h a r t & Martinelli (1949). Rippel et al. (1966) worked on the two-phase flow o f gas and liquid in a helicoidal pipe with an i.d. o f 12.7 m m and a coil diameter o f 208 mm. The experimental fluids were air-water, helium-water, F r e o n - 1 2 - w a t e r and air-2-propanol. It was f o u n d that their data satisfied the correlation fairly well with values o f about 40% precision. Owhadi et al. (1968) also found satisfactory agreement between their results o f two-phase flow pressure d r o p in a helical coil and the Lockhart-Martinelli correlation with a modified Lockhart-Martinelli parameter. C o m p r e hensive research on two-phase flow in a coil was reported by Banerjee et al. (1969). The Lockhart-Martinelli correlation was slightly modified and was found to satisfy the data. The helix angle (if small) appears to have no discernible effect on the pressure drop. Boyce et al. (1969) found that the Lockhart-Martinelli correlation adequately predicted the data. But in another study ( A k a g a w a et al. 1971), it was confirmed that the frictional pressure drop o f the two-phase flow in helicoidal pipes is 1.1-1.5 times as much as that in a straight pipe in their experimental range. Three types o f empirical equations for the frictional pressure drop were proposed and also the experimental data were correlated by a modified Lockhart-Martineili a p p r o a c h independent o f the pipe diameter to coil diameter ratio. Kasturi & Stepanek (1972a) used air-water, tTo whom correspondence should be addressed. 607
Effect of Boron and BF2 Implant on Polysilicon Resistors
Effect of Boron and BF2¿Implant on Polysilicon ResistorsSandhya Gupta zPolarFab,Bloomington,Minnesota55425-1350,USAPolycrystalline silicon is often implanted with boron or BF2ϩto fabricate p-type resistors in integrated circuits.This paper demonstrates the differences between boron and BF2ϩ-doped polysilicon resistors experimentally and describes the influence of fluorine on boron redistribution near the interface of polysilicon and its underlying layer.Results show the resistance of BF2ϩimplanted layers to be much less than boron-implanted layers at low dose levels irrespective of the underlying layer on which polysilicon is deposited.As the dose level increases,the difference between sheet resistances reduce and after a transition dose level,BF2ϩ-implanted resistors start showing a higher resistance than boron-doped samples.This transition level for poly-on-Si3N4 samples occurs at a lower dose level than poly-on-SiO2samples.Also,the change in resistance,⌬R is always much higher in poly-on-Si3N4than poly-on-SiO2samples for any given dose level.At high doping levels,BF2ϩand boron layers are comparable when the polysilicon layer is deposited on SiO2surface.Secondary ion mass spectrometry analysis shows a peak in thefluorine concentration near the interface of polysilicon and SiO2as well as polysilicon and Si3N4in BF2ϩimplant,which enhances the accumulation of boron near the interface significantly.The change in grain structure of polysilicon on Si3N4surface coupled with enhancement of boron accumulation near the interface in presence offluorine doubles the sheet resistance of BF2ϩ-doped poly-silicon on Si3N4surface.The temperature coefficient of the resistors for a given sheet resistance is independent of the underlying layer and implanted species.Amorphous silicon resistors fabricated with boron and BF2ϩshow a trend very similar to polysilicon.©2002The Electrochemical Society.͓DOI:10.1149/1.1457987͔All rights reserved.Manuscript submitted June18,2001;revised manuscript received November2,2001.Available electronically March7,2002.Polysilicon is widely used in very-large-scale integration͑VLSI͒technology as gate in complementary metal oxide semiconductor devices,as poly-emitter in high performance bipolar transistors,as capacitor plate in advanced stacked capacitors,in dynamic random access memory cells,as resistors or just as interconnect between two terminals.The resistance of polysilicon varies considerably depend-ing upon the requirement in any integrated circuit.The extensive use of polysilicon resistors has led to much re-search in their control and characterization.The effects of deposition temperature and thickness on polysilicon sheet resistance for differ-ent dopants have been studied extensively,1,2and the effect of the surface on which it is deposited has also been evaluated.3Thermal stability of polysilicon is a function of annealing temperature,film thickness,and dopant species.4,5Doped polysilicon resistors also exhibit temperature and voltage dependence.6Polysilicon when used as p-type resistors in VLSI applications are typically deposited on a Si3N4or SiO2surface with boron or BF2ϩas dopants.The polysilicon grain structure near the interface is a function of the underlying layer on which it is deposited.3The distribution of boron near the interface of polycrystalline silicon and silicon substrate is impacted by the presence offluorine.7 This paper reports the effect offluorine on polysilicon resistors and discusses this effect as a function of the underlying layer on which polysilicon is deposited for a wide range of doping levels.It also compares the behavior of amorphous silicon resistors to poly-silicon resistors for similar conditions.ExperimentalAll the silicon wafers used in this experiment initially received a 5500Åthick thermally grown SiO2layer.The wafers were divided into two groups.Group A received a500Åthick Si3N4deposition on top of the5500Åoxide layer in a low pressure chemical vapor deposition͑LPCVD͒furnace.Group B did not receive any Si3N4 deposition.A1500Åthick polysilicon was then deposited on wafers of both groups in a LPCVD system at620°C.These polysilicon-on-oxide and polysilicon-on-nitride samples were further subdivided to receive a two-way implant split between boron and BF2ϩ.Boron was implanted at15keV while the BF2ϩwas implanted at45keV to achieve the same penetration depth in poly-silicon.Boron and BF2ϩdose splits were also incorporated and ranged from5.0ϫ1014to4.0ϫ1015cmϪ2.The wafers were thenannealed at800°C for90min to reduce the stress and recrystallize the polysilicon layer.A50Åthin layer of SiO2was grown over thepolysilicon layer during anneal.This was followed by a500Åthick Si3N4deposition to encapsulate polysilicon and prevent outwarddiffusion of the impurities.The wafers received rapid thermal anneal ͑RTA͒activation at1100°C for10s.The thermal steps were chosen to reflect the significant process steps a polysilicon resistor wouldreceive in a typical integrated circuit͑IC͒process.The processflowchart and the layer stack for these sample sets are shown in Fig.1. The Si3N4and SiO2covering the polysilicon were etched away to measure the sheet resistance using a four-point probe.All the samples in this experiment were unpatterned.This experiment pro-vided four different sets of sample with boron and BF2ϩimplant splits in each group.A similar experiment was also performed where some wafersreceived amorphous silicon deposition instead of polysilicon and allother process conditions were unaltered.Amorphous silicon deposi-tion was performed at570°C in an LPCVD system.The goal of this experiment was to determine the effect of boron and BF2ϩimplants on amorphous silicon deposited on Si3N4and SiO2and compare these effects with polysilicon.Polysilicon wafers received wider range of dose splits for boron and BF2ϩwhile the amorphous silicon wafers were evaluated for a single dose of boron and BF2ϩ.ResultsThe sheet resistance of the polysilicon samples was measured using a CDE-168automatic four-point probe.Secondary ion mass spectrometry͑SIMS͒analysis was also performed on some of the wafers to measure the boron andfluorine concentrations in the poly-silicon,Si3N4,and SiO2layers.Boron was monitored using O2as the primary ion beam in a Cameca SIMS tool whilefluorine was monitored using Cs beam in the Quad SIMS tool.Sheet resistance of boron-doped polysilicon was found to depend on implant species,underlying layer on which polysilicon is depos-ited,and the dose level of the dopant.Dependence on implant species at high dose.—At high implant dose,the sheet resistance of a polysilicon layer implanted with bo-ron is much lower than a layer implanted with BF2ϩfor polysilicon deposited on Si3N4surface.The plot in Fig.2shows the sheet re-z E-mail:guptas@ 0013-4651/2002/149͑4͒/G271/5/$7.00©The Electrochemical Society,Inc.sistance of two sample sets for boron and BF 2ϩ-implanted polysili-con.Each set has six wafers where polysilicon is deposited on a Si 3N 4layer.For the 2.1ϫ1015cm Ϫ2dose,the average sheet resis-tance of boron-implanted polysilicon is 203⍀/ᮀwhile that for BF 2ϩ-implanted samples,it is 442⍀/ᮀ,an increase of 117%.Also,the standard deviation in the BF 2ϩ-implanted sample is significantlyhigher than that of the boron sample:1.5%compared to 0.8%.The presence of fluorine almost doubles the sheet resistance of boron-doped polysilicon resistors at high dose.Figure 3a shows the boron and fluorine SIMS profiles for two wafers with polysilicon deposited on Si 3N 4layer and implanted withboron and BF 2ϩwith a dose of 1.4ϫ1015cm Ϫ2.B 11dopant atom is present in boron-implanted samples while B 11,B 10,and fluorineatoms are detected in the BF 2ϩsamples.BF 2ϩ-implanted wafers show a higher concentration of boron at the polysilicon Si 3N 4interface compared to the boron-implanted wafers.The presence of fluorine enhances the accumulation of boron near the interface.The fluorine concentration also reaches a peak near the polysilicon/Si 3N 4inter-face in the BF 2ϩ-implanted wafer.Figure 3a shows that in the poly-silicon region between the two interfaces,the concentration of boron reduces from 8ϫ1019cm Ϫ3in boron-implanted polysilicon to 5.8ϫ1019cm Ϫ3in BF 2ϩ-implanted polysilicon.This represents a large ͑27.5%͒reduction in the boron concentration in the BF 2ϩ-implanted polysilicon layer.This reduced boron concentration in BF 2ϩ-implanted polysilicon translates to an increase in sheet resistance.The sheet resistance of BF 2ϩ-implanted polysilicon is 22%more than that of boron-implanted polysilicon,as shown in Table I.At the same dose level,polysilicon wafers deposited on SiO 2surface show a reduction ͑12%͒in sheet resistance whenimplantedFigure 1.͑a ͒Wafer process flow for the experiment and ͑b ͒the deposited layer stacks for groups A and B.All the wafers areunpatterned.Figure 2.Boron vs.BF 2ϩ-implanted ͑dose for each implant ϭ2.1ϫ1015cm Ϫ2͒polysilicon deposited on Si 3N 4surface.The Ϯ1line is drawn for each point.BF 2ϩ-implanted resistors are more than twice the value of B polysiliconresistors.Figure 3.SIMS profile of B 11,B 10,and fluorine present in boron andBF 2ϩ-implanted polysilicon at the ͑a ͒Si 3N 4interface and ͑b ͒SiO 2interface.Presence of fluorine enhances the accumulation of boron near the interface.with BF2ϩ͑Table I͒.The SIMS profile in Fig.3b shows thefluorine, B11,and B10peaks near the polysilicon and SiO2interfaces.Dependence on underlying layer.—Polysiliconfilms deposited on the Si3N4layer show a much higher sheet resistance than poly-silicon deposited on the SiO2layer.This is true for both boron and BF2ϩimplants.For a boron dose of1.4ϫ1015cmϪ3,the sheet re-sistance increases͑28%͒when the underlying layer is changed from SiO2to Si3N4͑Table I͒.Previous research supporting this observa-tion reports that the increase in resistance of boron-implanted poly-silicon on Si3N4surface is due to change of polysilicon grain growth by nucleation on Si3N4as compared to SiO2.3The density of nuclei on SiO2is less than that on Si3N4resulting in reduction in grain number and grain boundary ratio.The accumulation of boron at the interface is strongly impacted by the presence offluorine when polysilicon is deposited on the Si3N4surface.The sheet resistance of BF2ϩ-implanted polysilicon at 1.4ϫ1015cmϪ3dose increases considerably͑77%͒when the un-derlying substrate is changed from SiO2to Si3N4͑Table I͒.In case of boron,this change was only28%.This huge increase in resistance on BF2ϩ-implanted wafers is partly due to the change in underlying layer.The presence offluorine has further enhanced the accumula-tion of boron near the polysilicon/Si3N4interface as shown in SIMS profile of Fig.3.Dependence on dose level of the implanted species in the presence offluorine.—The results discussed so far include only two specific implant doses:1.4ϫ1015cmϪ3and2.1ϫ1015cmϪ2.A wider range of splits was performed with boron and BF2ϩto study the sheet resistance vs.dose behavior of the dopants.The aim was to study the characteristic differences between different dopants im-planted in polysilicon as a function of the layer on which polysilicon is deposited.Figures4a and b show the sheet resistance plotted as a function of doping level of boron and BF2ϩon polysilicon wafers.As the doping density increases,the polysilicon sheet resistance de-creases as expected.3The sheet resistance of boron-implanted poly-on-Si3N4wafers reduces from1447⍀/ᮀto134⍀/ᮀas the dose increases from5ϫ1014to4ϫ1015cmϪ2.The SIMS analysis of some of these wafers in Fig.5shows that the boron concentration in the polysilicon increases from3.1ϫ1019to1.9ϫ1020cmϪ3.Bo-ron accumulates near the polysilicon and Si3N4interface as shown by the peaks near the interface.It is important to note from Fig.4a and b that the sheet resistance of polysilicon on SiO2surface is always lower than on the Si3N4 surface for a given dose and dopant.At very heavy doping levels, the sheet resistance of boron-implanted wafers reach almost the same value irrespective of the underlying layer on which polysilicon is deposited.The boron-implanted poly-on-SiO2resistor is121⍀/ᮀcompared to134⍀/ᮀfor poly-on-Si3N4resistor for dose of4ϫ1015cmϪ2.BF2ϩ-implanted wafers do not show the same characteristics. Even at a dose of4ϫ1015cmϪ2,the BF2ϩ-doped poly-on-Si3N4is more than twice the value of poly-on-SiO2resistors.The BF2ϩ-implanted poly-on-oxide resistors are146⍀/ᮀwhile the poly-on-Si3N4resistors are306⍀/ᮀ,i.e.,an increase of110%.This indicates that the presence offluorine in BF2ϩimplant strongly en-hances the accumulation of boron near the interface making it inac-tive when the polysilicon is deposited on the Si3N4surface.Figure4a and b also show that the resistivity of polysilicon in-creases at high dose levels with the addition offluorine while it reduces when the dose levels are very low.As the dose level in-creases,the difference between sheet resistance reduce and,after a transition dose level,BF2ϩ-implanted resistors start showing a higher resistance than boron-doped samples.This transition level for poly-on-Si3N4samples occurs at a lower dose level than poly-on-SiO2 samples.Poly-on-SiO2resistors show this change in behavior near 1.9ϫ1015cmϪ2while poly-on-Si3N4show this change muchear-Figure4.Sheet resistance vs.dose plot of boron and BF2ϩ-implanted poly-silicon resistors deposited on͑a͒SiO2and͑b͒Si3N4surfaces.⌬R,the change in resistance due to presence offluorine,changes sign at the transi-tion dose level.Table parison of the sheet resistance of four different sample sets of polysilicon resistor with the same dopant dose.Dopant with1.4ϫ1015cmϪ2dose Polysilicon-on-SiO2͑⍀/ᮀ͒Polysilicon-on-Si3N4͑⍀/ᮀ͒Percentage change inresistance fromSiO2to Si3N4underlying layerBoron27835728% BF2ϩ24543477% Percentage change in sheet resistancefrom boron to BF2ϩϪ12%22%NAlier at 1.3ϫ1015cm Ϫ2.Also,the change in resistance,⌬R ,is al-ways much higher in poly-on-Si 3N 4than poly-on-SiO 2samples for any given dose level.A similar phenomenon has also been observed in previous papers for poly-on-SiO 2samples.8,9Sheet resistance variations in amorphous silicon .—The next set of experiments uses 1500Åof amorphous silicon instead of the polysilicon deposited on some of the wafers.All the other process conditions and steps remained the same.The amorphous silicon deposition was done at 550°C in an LPCVD system.The implanted dose of 1.4ϫ1015cm Ϫ2was used for both boron and BF 2ϩim-plants.The aim of this experiment was to do a similar study of behavior exhibited in the amorphous silicon layer.It is important to note that after anneal at 800°C,it would no longer be an amorphous layer.But annealing of an amorphous silicon layer would give larger grain size than would annealing of a polysilicon layer.Table II lists the values for amorphous silicon and polysilicon resistors for all the process conditions.In general,the sheet resis-tance of amorphous silicon resistors is lower than that for a polysili-con resistor.A similar conclusion for amorphous silicon deposited on SiO 2has been reported in Ref.3.It is also clear from the table that amorphous silicon resistors also show a trend similar to poly-silicon under all implant conditions.The BF 2ϩ-implanted amorphous silicon on Si 3N 4surface shows a higher sheet resistance ͑228⍀/ᮀ͒than a similar boron-implanted wafer ͑185⍀/ᮀ͒,an increase of about 23%due to the presence of fluorine.The presence of Si 3N 4under the amorphous silicon layer increases the sheet resistance of BF 2ϩ-implanted layer by 16%,much less than the measured increase in BF 2ϩ-implanted polysilicon resis-tors ͑67%͒.This is due to the fact that amorphous silicon resistors have fewer grain boundaries at which boron may accumulate near the interface and become inactive.Results from product wafers with different underlying layers .—The polysilicon sheet resistance was also measured on product wafers processed through all the process steps including metal contacts.The effect of SiO 2vs.Si 3N 4underlying layers was evaluated for boron-implanted polysilicon resistors.The experiment was somewhat different from the test wafers.On some samples,polysilicon was deposited directly on the Si 3N 4layer while on oth-ers,a short oxidation step was performed before depositing the poly-silicon.After depositing a 500Åthick Si 3N 4layer,some of the wafers received rapid thermal oxidation at 900°C for 20s to grow a 30Åof SiO 2on top of the Si 3N 4layer.This was followed by 1500Åthick polysilicon deposition and boron implant at 1.45ϫ1015cm Ϫ2.The polysilicon layer was annealed and encapsulated with Si 3N 4.Other process steps were performed to fabricate all the working devices.The resistors fabricated on Si 3N 4layer were 400⍀/ᮀas compared to 344⍀/ᮀon SiO 2layer,a change of 57⍀/ᮀ.Even a thin layer of SiO 2impacts the polysilicon resistance signifi-cantly because of change in grain growth of polysilicon on Si 3N 4as compared to SiO 2.The presence of fluorine did not affect the resistivity at which zero temperature coefficient of polysilicon resistor is achieved.A temperature coefficient ͑TCR ͒of zero ppm/°C is measured for re-sistors with 400⍀/ᮀsheet resistance for boron as well as BF 2ϩ-implanted polysilicon.This is similar to other reported results.10ConclusionsThis paper reports the effect of fluorine on polysilicon resistors and discusses this effect as a function of the underlying layer on which polysilicon is deposited for a wide range of doping levels.Results ͑Fig.4͒show the resistance of BF 2ϩ-implanted layers to be much less than that of boron-implanted layers at low dose levels irrespective of the underlying layer on which polysilicon is depos-ited.As the dose level increases,the differences between sheet re-sistances reduce,and,after a transition dose level,BF 2ϩ-implanted resistors start showing a higher resistance than doboron-dopedFigure 5.SIMS profile of wafers with boron-implanted polysilicon on Si 3N 4wafers for three different dose splits:5ϫ1014cm Ϫ2,1.4ϫ1015cm Ϫ2,and 4ϫ1015cm Ϫ2.Table parison between polysilicon resistors and amorphous silicon resistors for different deposition surface and implant species con-figurations.All implants have a 1.45ϫ1015cm À2dose.Wafer SiO 2͑Å͒Si 3N 4͑Å͒Resistor layer Dopant Average sheetresistance ͑⍀/ᮀ͒Percentage increase in sheetresistance From B to BF 2ϩwith the same underlying layer From SiO 2toSi 3N 4underlying layer with the same implant18000Polysilicon B 324--2800500Polysilicon B 423-3138000Polysilicon BF 2ϩ269Ϫ17-4800500Polysilicon BF 2ϩ44966758000Amorphous B 162--6800500Amorphous B 185-1478000Amorphous BF 2ϩ19621-8800500AmorphousBF 2ϩ2282316samples.This transition level for poly-on-Si3N4samples occurs at a lower dose level than poly-on-SiO2samples.Also the change in resistance,⌬R,is always much higher in poly-on-Si3N4than in poly-on-SiO2samples for any given dose level.At very high doping levels,BF2ϩ-implanted polysilicon on an Si3N4surface has almost twice the sheet resistance compared to boron-doped polysilicon while the poly-on-SiO2sample shows al-most the same sheet resistance for both cases.Also,the sheet resis-tance of polysilicon-on-SiO2surface is always lower than that on the Si3N4surface for a given dose and dopant.The big change in resistance observed for BF2ϩ-implanted poly-silicon is due to͑i͒the increase in the grain number to grain bound-ary ratio when polysilicon is deposited on Si3N4and͑ii͒the pres-ence offluorine to enhance the accumulation of boron near the polysilicon/Si3N4interface.SIMS analysis shows a peak influorine concentration near the polysilicon interface with SiO2as well as Si3N4underlying layers in BF2ϩimplant.The change in grain struc-ture of polysilicon on Si3N4coupled with enhancement of boron accumulation near the interface in presence offluorine increases the sheet resistance of BF2ϩ-doped polysilicon on a Si3N4surface.Amorphous silicon resistors fabricated with boron and BF2ϩshow a trend very similar to polysilicon but the change in resistance is not as large as in polysilicon due to larger grain size after annealing.AcknowledgmentsThe author would like to thank D.Fertig,S.Kosier,and J. Burkhardt for helpful discussions and critical review of the manu-script and R.Choronzy for the fabrication and measurement assis-tance for this work.PolarFab assisted in meeting the publication costs of this article.References1.M.Y.Ghannam and R.W.Dutton,Appl.Phys.Lett.,52,1222͑1988͒.2.M.M.Mandurah,K.C.Saraswat,C.R.Helms,and T.I.Kamins,J.Appl.Phys.,51,5755͑1980͒.3.K.Lee,H.Kang,Y.Jang,and S.Lim,in Solid-State Integrated Circuits Technol-ogy,Proceedings of the Fourth International Conference,Publishing House of Electronic Industry,p.659͑1995͒.4.J.E.Suarez,B.E.Johnson,and B.El-Kareh,in Electronic Components and Tech-nology,Proceedings of the41st Conference,IEEE,p.537͑1991͒.5.M.Rydberg,U.Smith,and H.Sjodin,J.Vac.Sci.Technol.,,18,690͑2000͒.6.J.T.Park,M.S.Choi,M.K.Lee,and B.R.Kim,J.Korean Inst.Electron Eng.,23,55͑1986͒.7.T.P.Chen,T.F.Lei,C.Y.Chang,W.Y.Hsieh,and L.J.Chen,J.Electrochem.Soc.,142,2000͑1995͒.8. D.L.Chen,D.W.Greve,and A.M.Guzman,J.Appl.Phys.,57,1408͑1985͒.9.M.Rydberg and U.Smith,Mater.Sci.Semicond.Process.,4,373͑2001͒.ne and G.T.Wrixon,IEEE Trans.Electron Devices,36,738͑1989͒.。
Boundary Conditions & Geometry Group:边界条件&几何组
dV E dS nE
dS n(vBj)
dSBnvt vnBt n(jt )
A tangential electric field can be applied by any combination of the terms:
Bnvt , vnBt , and ηjt.
B t· v tB n
No additional constraints are derived.
The first term is unconstrained since vn = 0. If Bn = 0, Bt ·vt is unconstrained. If Bn ≠ 0, Bt ·vt must be specified. However, vt = 0 from induction
Boundary Conditions for MHD
Resistive MHD equations in weakly conservative form (balance form, divergence form, flux/source form) are
v
0
tB ev· e vvpB B B v ?B B 2pB v vB ?B B?v 2B I? ( 0 B )B )B
n ·F
*The discussion is limited to Cartesian coordinates. Additional terms
arise in other coordinate systems, e.g. cylindrical.
Aerospace & Energetics Research Program
boundary conditions across beams analysis 英文
boundary conditions across beams analysis 英文In a beam analysis, boundary conditions refer to the constraints imposed on the ends of the beam or the supports that hold the beam in place. These boundary conditions determine how the beam will deform and react to applied loads.There are different types of boundary conditions commonly used in beam analysis, including:1. Fixed support: The beam is fully restrained at a support, preventing any movement or rotation.2. Pinned support: The beam is allowed to rotate at the support, but no translation is allowed.3. Roller support: The beam is allowed to move horizontally, but rotation and vertical movement are restricted.4. Free end: The beam is completely unrestrained at the end, allowing for both translation and rotation.The choice of boundary conditions depends on the specific problem being analyzed and the actual supports in the real system. These conditions are essential for determining the reactions, deflections, and bending moments in the beam under various loading conditions.In summary, the boundary conditions across beams refer to the constraints or supports imposed at the ends of the beam, which have a significant impact on the behavior and deformation of the beam.。
Boundary Conditions - worldcollegesinfo:边界条件worldcollegesinfo
• Internal face boundaries. • Material properties. • Proper specification.
2
Boundary conditions
• When solving the Navier-Stokes equation and continuity equation, appropriate initial conditions and boundary conditions need to be applied. • In the example here, a no-slip boundary condition is applied at the solid wall. • Boundary conditions will be treated in more detail in this lecture.
incompressible flows compressible flows
ptotal pstatic (1
k 1 2 k /(k 1) M ) 2
• Here k is the ratio of specific heats (cp/cv) and M is the Mach number. If the inlet flow is supersonic you should also specify the static pressure. • Suitable for compressible and incompressible flows. Mass depending on interior solution and specified flow direction. • The flow direction must be defined and one can get non-physical results if no reasonable direction is specified. • Outflow can occur at pressure inlet boundaries. In that case the flow direction is taken from the interior solution.
Boundary layer theory
Therefore, for flow over a flat plate, the pressure remains constant over the entire p plate (both inside and outside the boundary layer).
P.Talukdar/Mech-IITD
Temperature profiles for flow over an isothermal flat plate are similar like the velocity profiles. Thus, we expect a similarity solution for temperature to exist. Further, the thickness of the thermal boundary layer is proportional to
2
df/dη is replaced by θ
2 d 3f dη
3
2
+ Pr f
dθ = 0 dη
Compare For Pr = 1
+ f
d 2f dη
2
= 0
θ (0
)=
0 and θ (∞
)=
1
df = 0 dη η=0
and
df =1 dη η=∞
Thus we conclude that the velocity and thermal boundary layers coincide, and the nondimensional velocity and temperature profiles (u/u∞ and θ) are identical for steady, incompressible, laminar flow of a fluid with constant properties and Pr = 1 over an isothermal flat plate The value of the temperature gradient at the surface (Pr =1) ??
boundary conditions 造句
boundary conditions 造句boundary conditions 造句如下:1、It has k2 as the boundary conditions.它有k 2作为限制条件。
2、Testing boundary conditions forces you to question your assumptions.测试边界条件会迫使开发人员明确考虑自己的假设。
3、What are the boundary conditions, the requirements, for stable complexity?稳定的复杂性有什么限制条件,必要条件?4、This fundamental solution has satisfied free crack boundary conditions.该基本解满足自由裂纹的边界条件。
5、Don't just test the happy path; test boundary conditions and out-of-domain values.不要仅测试愉快路径,还要测试边界条件和范围之外的值。
6、The boundary conditions should be defined before the electron optics computation.在进行电子光学计算之前,必须先界定边界条件。
7、We identify the boundary conditions to be imposed on the laboratory test specimen.我们确定的边界条件对被征收化验标本。
8、This is the same equation, the Schr? Dinger equation, only it has different boundary conditions.相同的方程,薛定谔方程,只不过有不同的限制条件。
Deforestation Causes and Effects
Deforestation Causes and Effects Deforestation is a critical issue that has far-reaching causes and effects on the environment, wildlife, and human populations. It is the process of clearing forests for agricultural, commercial, or residential purposes, and it has become a significant concern due to its adverse impact on the planet. The causes of deforestation are multifaceted, including agricultural expansion, logging, infrastructure development, and urbanization. These activities not only lead tothe loss of valuable forest ecosystems but also contribute to climate change, soil erosion, and the extinction of plant and animal species. Furthermore,deforestation has detrimental effects on indigenous communities and local economies, making it a complex and pressing problem that requires immediate attention. One of the primary causes of deforestation is agricultural expansion. As the global population continues to grow, the demand for food and agricultural products has increased exponentially. This has led to the clearing of vast tracts of forested land to make way for large-scale farming operations. In many cases, forests are cleared through slash-and-burn techniques, where trees and vegetation are cut down and set on fire to create fertile land for crops. While this practice may provide short-term benefits for farmers, it has devastating long-term consequences for the environment, including soil degradation, loss of biodiversity, and increased greenhouse gas emissions. Another significant cause ofdeforestation is logging, which involves the extraction of timber for commercial purposes. The logging industry is driven by the demand for wood products,including furniture, paper, and building materials. As a result, forests are systematically harvested, leading to the destruction of valuable ecosystems andthe displacement of wildlife. Moreover, illegal logging practices further exacerbate the problem, as they often involve the destruction of protected areas and the exploitation of vulnerable communities. This not only contributes to deforestation but also fuels corruption and organized crime in many regions around the world. In addition to agricultural expansion and logging, infrastructure development and urbanization are also major contributors to deforestation. Ascities expand and populations grow, there is an increasing need for land to build roads, highways, and residential areas. This has led to the clearing of forests ona massive scale, resulting in the fragmentation and destruction of natural habitats. Furthermore, the construction of dams, mines, and other industrial facilities often requires the clearance of large areas of forested land, leadingto irreversible environmental damage and the displacement of indigenous communities. The effects of deforestation are wide-ranging and have significant implications for the planet and its inhabitants. One of the most immediate consequences of deforestation is the loss of biodiversity. Forests are home to a vast array of plant and animal species, many of which are unique and irreplaceable. When forests are cleared, these species lose their habitats and are often drivento extinction. This loss of biodiversity has profound ecological implications, asit disrupts the delicate balance of ecosystems and can lead to the collapse of entire food chains. Moreover, deforestation has a direct impact on climate change, as forests play a crucial role in regulating the Earth's climate. Trees absorb carbon dioxide from the atmosphere and store it in their biomass, helping to mitigate the effects of greenhouse gas emissions. When forests are cleared, this carbon is released back into the atmosphere, contributing to global warming and climate instability. Furthermore, deforestation reduces the Earth's capacity to absorb carbon dioxide, exacerbating the effects of climate change and leading to more frequent and severe natural disasters. In addition to its environmental consequences, deforestation also has profound effects on indigenous communitiesand local economies. Many indigenous peoples rely on forests for their livelihoods, as they provide food, medicine, and resources for traditional crafts. When forests are cleared, these communities lose their way of life and are often forced to relocate to unfamiliar and inhospitable environments. Furthermore, deforestation can lead to the degradation of soil and water resources, making it difficult for local farmers to sustain their agricultural practices. This, in turn, can lead to food insecurity and economic hardship for communities that are already vulnerable. In conclusion, deforestation is a complex and multifaceted problem that has far-reaching causes and effects. It is driven by a combination of factors, including agricultural expansion, logging, infrastructure development, and urbanization. The consequences of deforestation are dire, including the loss of biodiversity,climate change, and the displacement of indigenous communities. Addressing thisissue requires a concerted effort from governments, businesses, and individuals to promote sustainable land use practices and protect the world's remaining forests. By raising awareness about the causes and effects of deforestation and advocating for conservation and reforestation efforts, we can work towards preserving our planet's invaluable natural resources for future generations.。
专业英语单词
Aa charge of装有…料a lock hopper system闭锁料斗系统a monomolecular layer单分子层abrasive磨料abruptly突然性得abscissa横坐标acceleration加速度accentuate使突出/强调accidental contamination偶然的误差accordance一致的account for说明由于计算出account估计计算,报表accumulation重叠累积acicular针状的acidic酸的酸式的activator活化剂actuator执行器additives添加剂adhesion吸附力,粘合力adjacent相邻的adjustable bottom drain可调节的底部排水管adjustment调节adsorb吸附adsorption吸附aerated solids充气颗粒aerophilic亲气的aerophobic疏气的affinity亲和性亲和力aggregates团聚aggregation凝聚集合agitated pulp搅动的矿浆agitation搅动agitator搅拌器aid in有助于air ballast tank空气平衡箱air core空气柱air lift空气提升air table空气床air-admission进气airpipe通气管alkali earth metal碱土金属alkaline碱性的allowance.允许,许可,考虑,补助alluvial sands冲击砂矿alluvial冲积的淤积的alternate交替的alternating currentdemagneting coil交流去磁线圈alternating current交流电alternative-energy替代能源(新能源)alternative可供选择的n.供替代的选择aluminium铝的aluminosilicates硅铝酸盐aluminum铝amenability可控制amenable有利于的可依照的amines胺ample探明amplitude振幅analogous相似的,类似的的ancillary辅助的辅助设备Angular有角的anionic阴离子型annular有波纹的anthracite无烟煤anvil碎矿板apatite石灰石aperture size开孔尺寸aperture孔apex nozzle圆锥口apex沉砂口apices顶点(复数)apparatus装置approximately大约地、近似地approximation近似值aromatic alcohols芳香醇arsenopyrite含砷黄铁矿,毒砂ash content灰分ash-forming impurities成灰杂质as-mined刚刚采出的assay鉴定、测定assembly集合/配置assessing评价,估计assess估定评定分析assumption.假设asymmetric不对称的,多极的atmospheric大气的attenuation.衰减attrition研磨/磨损automatic medium specificgravity controlsystemautomatic自动化available open area有效开孔面积avid渴望的亲和的axiomatic公理的,不证自明的Bbaffle vanes鼻端固定导叶,折叶baffles缓冲板阻碍baffles缓冲板,阻碍baffle异流口,折转板/挡板ball mill球磨机ball trays球托banana screens香蕉筛barites重晶石barite重晶石barium钡base metal贱金属basic flotation circuits基础的浮选回路basic碱的碱式的basin池bauxite铝矾土be reputed to be被认为是beam balance平衡梁,平衡杆beam n.梁,栋梁,束,光线,波束bear out证实,证明bearing轴承bell curve钟形曲线beneficiate处理beneficiation选矿精选富集Beryllium Be铍beyond question毫无疑问的binary二元的binding粘结剂bitumen沥青bituminous coal烟煤bituminous烟煤bivalent二价的blasting爆破bleed流出blend混合。
Boundary Conditions
for educational purposes only ref: V11/06
-3-
Wall Boundary Conditions
• The simplest boundary condition is that of a wall • Since fluid cannot pass through a wall the normal component of velocity is set to zero relative to the wall along a face on which the wall boundary condition is applied • In addition, because of the no-slip condition, the tangential component of velocity at a stationary wall is usually set to zero as well • If the energy equation is being solved, either wall temperature or wall heat flux must also be specified (but not both at a time !) • If a turbulence model is being used, turbulence transport equations are solved, and wall roughness may need to be specified, since turbulent boundary layers are influenced greatly by the roughness of the wall • In addition the turbulence wall treatments (wall functions etc.) have to be chosen
TIMIT
5 Output from T¯ I MIT 5.1 Hydrostatic Quantities . . . . . . . . . . . . . . . 5.1.1 The format of the hydrostatic output . . 5.2 Time Domain Hydrodynamic Quantities . . . . . 5.2.1 Format of the time domain hydrodynamic 5.3 Frequency Domain Hydrodynamic Quantities . . 5.3.1 Format of the frequency domain output .
T¯ I MIT
A panel-method program for transient wave-body interactions.
VERSION 4.0: For zero and forward speed analysis of a single body with any number of waterlines, arbitrary wave heading, generalized modes, and infinite or finite depth.
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The development of T¯ I MIT has been supported by the Office of Naval Reseach, the Joint Industry Project “Wave Effects on Offshore Structures”, the Consortium for Numerical Analysis of Wave Effects on Offshore Structures, and the Naval Ship Warfare Center.
重大突发事件下路段中断状态判断方法
第23卷第4期2023年8月交 通 工 程Vol.23No.4Aug.2023DOI:10.13986/ki.jote.2023.04.006重大突发事件下路段中断状态判断方法杨珍珍(北京掌行通信息技术有限公司,北京 100085)摘 要:中断率是公路网运行监测与服务的重要指标,针对现有研究中依据高速公路饱和度㊁设计车速和平均车速仅能判断路段缓慢或拥堵状态的问题,以及基于交通突发(阻断)事件信息判断路段中断状态时存在漏报㊁误报㊁上报不及时的问题,本文提出1种新的重大突发事件下路段中断状态判断方法.首先,提取路段一定时间段内的历史交通流量,并按照节假日㊁星期㊁小时等特征将数据进行分类;其次,计算路段交通流量在不同特征条件下的边界阈值;然后,基于高速公路电子不停车收费系统采集的车辆行驶轨迹数据,计算路段的实时交通流量;最后,判断路段是否为中断状态,如果路段的实时交通流量等于零,且路段的实时交通流量低于边界阈值,则判断路段为中断状态.以辽宁中部环线高速公路的1起重大突发事件为例,验证本文提出方法的有效性.研究结果表明,本文提出的方法能判断重大突发事件下路段的中断状态,解决了依据饱和度㊁设计车速和平均车速仅能判断路段缓慢或拥堵状态的问题,克服了基于交通突发(阻断)事件信息判断路段中断状态时存在的漏报㊁误报㊁上报不及时的问题,避免了路段没有中断但流量为零而被错误地判断为中断状态的情况,提高了路段中断状态判断的准确性.关键词:高速公路;重大突发事件;中断状态;交通流量中图分类号:U 491.31文献标志码:A文章编号:2096⁃3432(2023)04⁃035⁃07收稿日期:2022⁃10⁃08.基金项目:国家自然科学基金青年科学基金项目(72101022).作者简介:杨珍珍(1986 ),女,博士,研究方向为智能交通㊁交通大数据分析.E⁃mail:yang_zhenzhen@.Judgment Method of Road Interrupted State Under Major EmergenciesYANG Zhenzhen(Beijing PalmGo Infotech Co.,Ltd,Beijing 100085,China)Abstract :Interruption rate is an important indicator of the operation monitoring and service of road network.In the existing research,the problem of slow or congested road sections can only be judged based on expressway saturation,design speed and average speed,and traffic emergencies (blocking)events.There are problems of missed reporting,false reporting,and untimely reporting when judging the interruption status of road sections by information.This paper proposes a new method for judging the interruption status of road sections under major emergencies.First,extract the historical traffic flow of the road section within a certain period of time,and classify the data according to the characteristics of holidays,weeks,hours,etc.;secondly,calculate the boundary threshold of the traffic flow of the roadsection under different characteristic conditions;then,based on the highway electronic non⁃stop the vehicle trajectory data collected by the toll collection system calculates the real⁃time traffic flow of the road section;finally,it is judged whether the road section is in an interrupted state,if the real⁃time traffic flow of the road section is equal to zero,and the real⁃time traffic flow of the road section is lower than the boundary threshold,then it is judged that the road section is in an interrupted state .Taking amajor emergency incident on the Central Ring Expressway in Liaoning as an example,the effectiveness of交 通 工 程2023年the method proposed in this paper is verified.The research results show that the method proposed in this paper can effectively judge the interruption state of road sections under major emergencies,solve the problem that only the slow or congested state of road sections can be judged based on saturation,design vehicle speed and average vehicle speed,and overcome the problem based on traffic emergencies (blocking)event information to judge the interruption state of the road section,the problems of missed reporting,false reporting,and untimely reporting,avoiding the situation that the road section is not interrupted but the traffic is zero and is mistakenly judged as the interruption state,and improves the judgment of the interruption state of the road section accuracy.Key words:expressway;major emergency;interrupted state;traffic flow0 引言公路网是我国交通运输行业的重要组成部分,承担着主要的客流和货物运输,是国民经济可持续发展㊁百姓高品质出行的重要保障.交通事故(例如,货物洒落㊁车辆碰撞追尾㊁油罐车爆炸㊁隧道起火)以及自然灾害(例如,雪灾㊁洪水㊁地震㊁泥石流㊁山体滑坡等)等,常常会导致道路通行能力降低,引起交通拥堵或道路中断,严重情况下甚至会导致整个路网的瘫痪,威胁公众出行安全和效率.有效评估突发事件对公路网的影响,能为交通管理部门制定和优化交通管控措施提供科学依据,同时也能为出行者合理安排出行提供参考,提高公路网服务水平.在现有的研究中,突发事件对公路网的破坏性影响评估指标主要包括脆弱性㊁鲁棒性㊁可达性㊁流量㊁速度㊁拥堵等.脆弱性和鲁棒性从不同的角度描述道路网络受突发事件的影响.其中,脆弱性描述了道路网络易受事故破坏的可能性,而鲁棒性则反映了道路网络在各种情况下能保持最初设计功能的程度.在脆弱性研究方面,Chen等[1]以及El⁃Rashidy和Grant⁃Muller1[2]制定了在道路封闭情况下识别路网中最脆弱路段的指数;Jenelius等[3⁃4]采用网格单元法分析单个路段或部分网络封闭情况下道路网络的脆弱性;Pedrozo⁃Acuna等[5]发现公路沿线最脆弱的点在洪水中更容易被破坏.在鲁棒性研究方面,Sullivan等[6]利用通行能力减少率识别最重要的路段,并量化其在地震㊁洪水和龙卷风3种破坏性场景下的稳健性;Bagloee等[7]基于离散网络设计方法定义全局鲁棒性指数,并对路段进行排序.在可达性研究方面,Sohn[8]研究了某些主要道路在洪水中断时可达性降低的情况;Taylor等[9]研究了在重要路段失效情况下可达性降低最大的位置.交通流量是给定时间内通过给定位置的车辆总数,该参数是突发事件影响分析的重要指标.在现有研究中,He等[10]研究了I⁃35W大桥坍塌前后公路网交通流量的变化情况;Danczyk等[11]进一步研究了I⁃35W大桥坍塌事件发生后警戒区内(为出行者提供替代路线的指定区域)交通流量的动态变化情况.此外,Pregnolato等[12]研究了洪水期间受影响道路上的交通流量和积水深度之间的关系.姚江贝等[13]分析了高速公路营运期交通事故的特征断面车速,发现超速㊁速度方差与标准差偏大,车辆速度分布离散是造成事故数偏高的主要原因.杨洋等[14]基于微波雷达检测器采集的动态交通流数据,分析事故前后速度变化态势,发现速度变化率的阈值越小,事故影响的开始时间越早,结束时间越晚,持续时间越长,且事故影响的距离越长.杨珍珍等[15⁃16]提出基于贝叶斯理论和3倍标准差准则的交通网络异常事件影响分析方法,建立交通流量和交通拥堵指数及其变化率的评价指标计算模型,研究受阻路段㊁绕行路段以及拥堵增加路段的识别方法.此外,交通运输部公路科学研究院主编的‘公路网运行监测与服务暂行技术要求“[17],以及地方标准(DB12/T635 2016)‘高速公路网运行监测与服务技术要求“[18]中提出 中断率”指标,用路段中断状态描述某一路段处于连通还是中断状态.路段连通状态指可供车辆正常行驶的状态,用 1”表示;路段中断状态指不能供车辆正常行驶的状态,用 0”表示.路段中断状态依据交通突发(阻断)事件信息,以及路段速度和流量综合判别.齐晨[19]提出高速公路设计车速为120㊁100km/h,当路段平均车速小于30km/h,认为路段处于中断状态;高速公路设计车速80km/h,当路段平均车速小于20km/h,认为路段处于中断状态;当路段饱和度大于等于1的时候,认为路段处于中断状态.现有研究存在的主要问题包括:①当路段中断状态依据路段饱和度判断时,路段饱和度大于等于1则认为路段处于中断状态,此方法只能判断路段63 第4期杨珍珍:重大突发事件下路段中断状态判断方法交通量大,处于极度拥堵的状态,并不能判断重大突发事件下路段处于中断状态;②当路段中断状态依据高速公路设计车速和路段平均车速判断时,对于设计车速为120km/h或100km/h高速公路,当路段平均车速小于30km/h,认为路段处于中断状态;对于设计车速为80km/h高速公路,当路段平均车速小于20km/h,认为路段处于中断状态.该方法只能判断路段处于行驶缓慢或拥堵的状态,并不能判定路段处于中断状态;③当路段中断状态依据交通突发(阻断)事件信息判断时,由于交通突发(阻断)事件信息为各省上报信息,存在漏报㊁误报㊁上报不及时的问题,导致路段中断状态判断结果存在漏报㊁误报㊁上报不及时的问题.针对现有研究存在的问题,本文提出重大突发事件下路段中断状态判断方法,解决依据高速公路路段饱和度㊁设计车速和平均车速仅能判断路段缓慢或拥堵状态的问题,克服基于交通突发(阻断)事件信息判断路段中断状态时存在的漏报㊁误报㊁上报不及时问题.1 路段中断状态判断方法路段中断状态判断方法如图1所示.首先,提取路段一定时间段内的历史交通流量,按照节假日㊁星期㊁小时等特征将数据进行分类;其次,计算路段的交通流量在不同特征条件下的边界阈值;然后,基于高速公路电子不停车收费系统(Electronic TollCollection,ETC)门架采集的车辆行驶轨迹数据,计算路段的实时交通流量;最后,判断路段的实时交通流量是否等于零,如果路段的实时交通流量等于零,则进一步判断路段的实时交通流量是否低于边界阈值,如果路段的实时交通流量低于边界阈值,则判断路段为中断状态.1.1 数据分类高速公路ETC门架是设置在高速公路主线上相邻互通(收费站)之间实现所有车辆分段计费的设施,能精确记录高速公路通行车辆的轨迹,采集全样本数据[20].随着全国29个联网收费省份487个省界收费站全部取消,全国高速公路已经实现 一张网”运行.截至2021年12月,全国ETC用户总量突破2.36亿[21],ETC门架日均处理数据量约10亿条[22],为高速公路交通流量采集提供了丰富的数据源.此外,基于高速公路ETC门架数据能检测高速公路车辆行驶轨迹,实现异常事件发现[23].因此,本文利用高速公路ETC门架采集的车辆行驶轨迹图1 路段中断状态判断方法数据计算路段的交通流量.当车辆经过门架时,门架会记录车辆的车牌号和车辆经过门架的时间,用Q i→j t表示门架i到门架j之间的路段在时段t的交通流量.由于不同节假日㊁星期㊁小时的交通流量存在较大差异,按照不同特征(包括节假日特征㊁星期特征㊁小时特征等)对数据进行分类.具体划分方法描述如下:首先,将日期划分为节假日和非节假日.然后,将节假日的每1天都作为1个独立的特征日,将非节假日按照星期划分为星期一到星期日7个特征日.节假日进一步划分为春节(SF)㊁清明(QMF)㊁五一(MD)㊁端午(DBF)㊁中秋(MAF)㊁国庆(ND)㊁元旦(NYD)等.非节假日分为星期一(Mon)㊁星期二(Tue)㊁星期三(Wed)㊁星期四(Thu)㊁星期五(Fri)㊁星期六(Sat)和星期日(Sun).如果星期六或星期天为节假日补班,则不能归类到正常星期六或星期日.由于节假日每天的交通流量均存在差异,且节73交 通 工 程2023年假日前1d 和后1d 的交通流量与正常的非节假日也有差异,因此,将节假日前1d㊁节假日期间和节假日后1d 的数据做进一步地细分.例如,当国庆(ND)是7d 假期时,从节前1d 工作日到节后1d 依次设置为1~9d,即ND ={ND 1,ND 2,ND 3,ND 4,ND 5,ND 6,ND 7,ND 8,ND 9};当五一(MD)是3d 假期时,从节前1d 工作日到节后1d 依次设置为1~5d,即MD ={MD 1,MD 2,MD 3,MD 4,MD 5}.用C 表示特征日集合,则C =SF ={SF 1,SF 2,SF 3, }QMF ={QMF 1,QMF 2,QMF 3, }MD ={MD 1,MD 2,MD 3, }DBF ={DBF 1,DBF 2,DBF 3, }MAF ={MAF 1,MAF 2,MAF 3, }ND ={ND 1,ND 2,ND 3, }NYD ={NYD 1,NYD 2,NYD 3, }ìîíïïïïïïïïïïïïüþýïïïïïïïïïïïï ,节假日{Mon,Tue,Wed,Thu,Fri,Sat,Sun},ìîíïïïïïïïïïïïïï非节假日(1)最后,将每个特征日按照设定间隔划分为多个时段.例如,按照1h 间隔划分为24个时间段,也可按照早晚高峰划分为早高峰㊁白天平峰㊁晚高峰㊁夜间4个时间段.用Q i →jC ,t 表示门架i 到门架j 之间的路段在特征日C 时段t 的交通流量.1.2 交通流量边界阈值有些路段在正常情况下流量等于零,例如,夜间车流量少的时候.如果直接根据流量等于零判断路段中断,则容易将正常情况下流量等于零的路段错误地判断为中断状态.为了避免门架间路段流量为零但没有中断而被错误地判断为中断状态的情况,增加历史特征时段门架间流量的比对过程.通过历史数据统计门架对之间路段交通流量在不同特征条件下的边界阈值,筛选交通流量等于零且低于边界阈值的路段,判定为交通状态中断.提取一定时间段的历史交通流量,用Q i →jC ,t ,k 表示门架i 到门架j 之间的路段在特征日C 时段t 的交通流量的第k 个样本,n 表示样本量,Q i →j C ,t ={Q i →j C ,t ,1,Q i →j C ,t ,2, ,Q i →j C ,t ,k , ,Q i →j C ,t ,n },k =1,2, ,n.定义μi →jC ,t表示门架i 到门架j 之间的路段在特征日C 时段t 交通流量的平均值,σi →jC ,t 表示门架i 到门架j 之间的路段在特征日C 时段t 交通流量的标准差.门架i 到门架j 之间的路段在特征日C 时段t 的交通流量的平均值μi →j C ,t 和标准差σi →jC ,t 的计算公式如下:μi →j C ,t =1n(Q i →j C ,t ,1+Q i →j C ,t ,2+ +Q i →jC ,t ,k + +Qi →jC ,t ,n)=1n∑nk =1Q i →jC ,t ,k (2)σi →j C ,t =1n -1((Q i →j C ,t ,1-μi →j C ,t )2+ +(Q i →j C ,t ,k -μi →j C ,t )2+ +(Q i →j C ,t ,n -μi →j C ,t )2)=1n -1∑nk =1(Q i →j C ,t ,k -μi →j C ,t )2(3)定义ε为门架对之间的交通流量在不同特征条件下的边界阈值,εi →jC ,t 为门架i 到门架j 之间的路段在特征日C 时段t 交通流量的边界阈值,εi →j C ,t 的计算公式如下:εi →jC ,t=μi →j C ,t-θσi →j C ,t=1n∑nk =1Q i →jC ,t ,k -θ1n -1∑nk =1(Q i →j C ,t ,k -μi →j C ,t )2(4)式中,θ表示边界阈值系数,当θ=1时,Q i →j C ,t ≥εi →jC ,t 的概率是84.135%,Q i →j C ,t <εi →j C ,t 的概率是15.865%;当θ=2时,Q i →j C ,t ≥εi →j C ,t 的概率是97.725%,Q i →j C ,t <εi →j C ,t 的概率是2.275%;当θ=3时,Q i →j C ,t ≥εi →j C ,t 的概率是99.865%,Q i →j C ,t <εi →j C ,t 的概率是0.135%.通常情况下,θ取值3,此时Q i →j C ,t <εi →jC ,t 的概率是0.135%,表示门架i 到门架j 之间的路段在特征日C 时段t 交通流量小于边界阈值的概率是0.135%.1.3 路段中断状态判定条件计算门架对之间的实时交通流量,判断门架对之间的路段的实时交通流量是否等于零;如果门架对之间的路段的实时交通流量等于零,则进一步判断门架对之间的路段的实时交通流量是否低于边界阈值;如果门架对之间的路段的实时交通流量低于边界阈值,则判断门架对之间的路段是中断状态.中断状态判定条件:当Q i →j C ,t =0且Q i →j C ,t <εi →jC ,t 时,判定门架i 到门架j 之间路段的为中断状态.用ηi →j C ,t 表示门架i 到门架j 之间的路段在特征日C 时段t 的通行状态.如果门架i 到门架j 之间的路段在特征日C 时段t 的通行状态是中断状态,则ηi →j C ,t =0;否则,ηi →jC ,t =1.即ηi →jC ,t=0,Q i →j C ,t =0且Q i →j C ,t <εi →j C ,t1,{其他(5)2 案例研究以2021年7月22日16:35(星期四)发生在辽83 第4期杨珍珍:重大突发事件下路段中断状态判断方法宁中部环线高速公路的1起重大突发事件为例,验证本文提出方法的有效性.事件发生位置为辽宁中部环线高速公路铁岭方向197km +700m 处,事故详情为1辆货车驶入对向车道与1辆客车发生交通事故,造成4人当场死亡㊁4人因抢救无效死亡㊁部分人员受伤.2.1 中断状态判断结果事故所在位置的上游门架和下游门架之间路段的交通流量如图2所示.由于事故发生当天7月22日是星期四且为非节假日,因此,提取历史相同星期特征且非节假日的交通流量,包括4月8日㊁4月15日㊁4月22日㊁4月29日㊁5月6日㊁5月13日㊁5月20日㊁5月27日,共8d 星期四且非节假日的数据.基于这8d 交通流量数据,利用式(2)计算路段交通流量的平均值μi →jC ,t,利用式(3)计算路段交通流量的标准偏差σi →jC ,t ,利用式(4)计算交通流量的边界阈值εi →j C ,t ,计算结果如表1和图3所示.例如,在18:00时,交通流量平均值μi →jThu,18=87.0辆/h,交通流量标准偏差σi →j Thu,18=9.4辆/h,当θ取值3时,根据式(4)计算得到交通流量的边界阈值εi →j Thu,18=μi →j Thu,18-θσi →j Thu,18=87.0-3×9.4=58.7辆/h .将实时交通流量与交通流量边界阈值进行对比,如果实时交通流量等于零,且实时交通流量低于边界阈值,则判断门架对之间的路段是中断状态.利用式(5)计算路段的通行状态ηi →jC ,t.例如,在18:00时,Q i →j Thu,18=0辆/h,即Q i →j Thu,18<εi →j Thu,18;由于Q i →j Thu,18=0且Q i →j Thu,18<εi →j Thu,18,通过式(5)可得出ηi →j Thu,18=0,即事故所在位置的上游门架和下游门架之间路段的通行状态是中断状态.从表1和图3可得出,门架对之间的路段的交通流量在事故当天的17:00 19:00等于0,且小于交通流量边界阈值,说明路段在17:00 19:00是处于完全中断的状态.图2 交通流量表1 参数计算结果辆/h 小时交通流量平均值交通流量标准偏差交通流量边界阈值实时交通流量036.86.916.169137.510.75.389239.94.725.872341.94.528.378452.57.230.992593.616.245.21586136.827.753.72427134.321.071.12428142.511.5108.02919159.820.199.532510156.122.688.327711133.117.780.027612131.112.593.626613131.821.268.128514120.810.589.330115123.16.6103.334116110.517.558.01761793.318.139.00(中断)1887.09.458.70(中断)1988.511.055.60(中断)2083.110.053.212170.06.750.022253.96.833.622341.46.123.0193图3 交通流量与边界阈值对比2.2 分析与讨论现有的路段中断状态判断方法主要包括基于饱和度的判断方法㊁基于设计车速和平均车速的判断93交 通 工 程2023年方法㊁基于交通突发(阻断)事件信息的判断方法㊁基于流量的判断方法.1)基于饱和度的路段中断状态判断方法分析现有的基于饱和度的路段中断状态判断方法描述:路段饱和度大于等于1则认为路段处于中断状态[19].饱和度等于道路实际交通流量与实际通行能力的比值,见式(6).S i→j C,t=Q i→j C,tCapacity i→j C,t(6)式中,S i→j C,t为门架i到门架j之间的路段在特征日C时段t的饱和度,Q i→j C,t为门架i到门架j之间的路段在特征日C时段t的实际交通流量,Capacity i→j C,t为门架i到门架j之间的路段在特征日C时段t的实际通行能力.道路服务水平根据饱和度确定:当S i→j C,t≤0.35表示1级服务水平,交通流处于自由流状态;0.35< S i→j C,t≤0.55表示2级服务水平,交通流基本处于自由流状态;0.55<S i→j C,t≤0.75表示3级服务水平,交通流处于稳定流的上半段;0.75<S i→j C,t≤0.9表示4级服务水平,交通流处于稳定流的下半段;0.9< S i→j C,t≤1表示5级服务水平,交通流处于拥挤状态; S i→j C,t>1表示6级服务水平,交通流处于拥堵状态,车辆排队行驶[24].在本案例分析中,门架对之间的路段的交通流量在事故当天17:00 19:00等于0(如表1所示),通过式(6)可得出,事故当天17:00 19:00的饱和度也都等于0(如表2所示).此时,按照道路服务水平与饱和度之间的关系可知,饱和度S i→j C,t=0≤0.35,表示1级服务水平,交通流处于自由流状态.因此,在道路中断㊁交通流量等于零的情况下,无法得出路段饱和度大于等于1的结果,也无法得出路段处于中断状态的结果.表2摇饱和度小时实时交通流量饱和度170018001900 当路段饱和度大于等于1时,表明路段交通流量超过实际通行能力,道路交通状态为拥堵状态,道路服务水平为6级,但无法判断路段状态为重大突发事件下的中断状态.本文提出的重大突发事件下路段中断状态判断方法,增加了历史特征时段门架间流量的比对过程,通过历史数据计算路段交通流量在不同特征条件下的边界阈值,当路段交通流量等于零且低于边界阈值时,路段交通状态判定为中断,该方法能有效识别重大突发事件下的异常中断状态.部分路段的饱和度经常大于等于1,虽然不属于重大突发事件下的异常中断状态,但属于常发高流量路段.通过饱和度大于等于1识别常发高流量路段,一方面能为交通管理部门制定交通管控措施,发布智能诱导信息,引导交通流量均衡分布,疏导车流量大路段提供数据支撑;另一方面能为交通规划和建设部门制定道路改扩建方案提供科学依据,从而提升路网的整体服务水平.2)基于设计车速和平均车速的路段中断状态判断方法分析现有的基于设计车速和平均车速的路段中断状态判断方法描述:对于设计车速为120km/h或100km/h高速公路,当路段平均车速小于30km/h,判断路段处于中断状态;对于设计车速为80km/h 高速公路,当路段平均车速小于20km/h,判断路段处于中断状态[19].平均车速小于30km/h或20km/h,均只能说明路段处于缓慢通行或拥堵状态,并不能识别出路段在重大突发事件下的中断状态.对于部分常发拥堵路段,路段平均车速经常小于30km/h或20km/h,如果按照现有基于设计车速和平均车速的路段中断状态判断方法,这些常发拥堵路段会被误判为中断状态,无法识别出真正的重大突发事件下的中断状态. 3)基于交通突发(阻断)事件信息的路段中断状态判断方法分析基于交通突发(阻断)事件信息的路段中断状态判断方法描述:路段连通状态指可供车辆正常行驶的状态,路段中断状态指不能供车辆正常行驶的状态,路段中断状态依据交通突发(阻断)事件信息,以及路段速度和流量综合判别[17⁃18].当路段中断状态依据交通突发(阻断)事件信息判断时,由于交通突发(阻断)事件信息为各省上报信息,存在漏报㊁误报㊁上报不及时的问题,导致路段中断状态判断结果也会存在漏报㊁误报㊁上报不及时的问题.本文提出的基于高速公路ETC门架数据的重大突发事件下路段中断状态判断方法,能有效弥补基于交通突发(阻断)事件信息判断路段中断状态存在的问题.04 第4期杨珍珍:重大突发事件下路段中断状态判断方法4)基于流量的路段中断状态判断方法分析数据分析发现,部分路段在正常情况下流量等于零,例如,夜间车流量少的时候.如果直接根据流量等于零判断路段中断,则容易将正常情况下流量等于零的路段错误地判断为中断状态.为了避免门架间路段流量为零但没有中断而被错误地判断为中断状态的情况,本文提出的重大突发事件下路段中断状态判断方法增加了历史特征时段门架间流量的比对过程,通过历史数据计算路段交通流量在不同特征条件下的边界阈值,当路段交通流量等于零且低于边界阈值时,路段交通状态判定为中断.该方法有效避免了门架间路段流量为零但没有中断而被错误地判断为中断状态的情况.3摇结束语本文提出了基于高速公路ETC门架数据的重大突发事件下路段中断状态判断方法,包括数据分类方法㊁交通流量边界阈值计算模型㊁路段中断状态判定条件.该方法增加了历史特征时段门架间流量的比对过程,通过历史数据计算路段交通流量在不同特征条件下的边界阈值,当路段交通流量等于零且低于边界阈值时,路段交通状态判定为中断.以辽宁中部环线高速公路的1起重大突发事件为例,验证本文提出方法的有效性.研究结果表明,本文提出的重大突发事件下路段中断状态判断方法,能有效判断重大突发事件下路段的中断状态,解决了依据饱和度㊁设计车速和平均车速仅能判断路段缓慢或拥堵状态的问题,克服了基于交通突发(阻断)事件信息判断路段中断状态时存在的漏报㊁误报㊁上报不及时的问题,避免了路段没有中断但流量为零而被错误地判断为中断状态的情况,提高了路段中断状态判断的准确性.本文利用门架对之间的交通流量变化情况判断门架对之间路段的中断状态,研究对象是门架到门架之间的路段.目前已经有研究提出基于多源异构数据(例如,视频图像检测器和高速公路收费系统收集的数据等)动态估计高速公路任意横断面的交通流量[25⁃27],得到更细粒度的交通流量,例如,高速公路任意百米桩㊁公里桩等位置的交通流量.在未来的工作中,可考虑基于高速公路任意横断面的交通流量判断路段中断状态,进一步提升路段中断状态定位的精准程度,实现更精细化的高速公路状态监测.参考文献:[1]Chen B Y,Lam W H K,Sumalee A,et al.Vulnerability analysis for large⁃scale and congested road networks with demand uncertainty[J].Transportation Research Part A: Policy and Practice,2012,46(3):501⁃516. [2]El⁃Rashidy R A,Grant⁃Muller1S M.An assessment method for highway network vulnerability[J].Journal of Transport Geography,2014,34:34⁃43.[3]Jenelius E,&Mattsson L.Road network vulnerability analysis of area⁃covering disruptions:A grid⁃based approach with case study[J].Transportation Research Part A:Policy and Practice,2012,46(5):746⁃760. [4]Jenelius E,Mattsson L.Road network vulnerability analysis: Conceptualization,implementationand application[J]. Computers,Environment and Urban Systems,2015,49: 136⁃147.[5]Pedrozo⁃Acuna A,Moreno G,Mejía⁃Estrada P,Paredes⁃Victoria P,Brena⁃Naranjo J A,&Meza C.Integrated approach to determine highway flooding and critical points of drainage[J].Transportation Research Part D:Transport and Environment,2017,50:182⁃191.[6]Sullivan J L,Novak D C,Aultman⁃Hall L,&Scott D M. Identifying critical road segments and measuring system⁃wide robustness in transportation networks with isolating links:A link⁃based capacity⁃reduction approach[J]. 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(高建军)Analysis of water-lubricated journal bearings with multiple axial grooves
Abstract: The steady state and dynamic characteristics including whirl instability of waterlubricated journal bearings having three axial grooves are obtained theoretically. The Reynolds equation is solved numerically by the ®nite difference method satisfying the appropriate boundary conditions. The dynamic behaviour in terms of stiffness and damping coef®cients of ®lm and stability are found using a ®rst-order perturbation method. It has been shown that both load capacity and stability improve when smaller groove angles are used.
perturbed pressures end ¯ow of oil (m3=s), Q ˆ 2QLZ=…C3Dps† journal radius (m)
The MS was received on 4 September 2003 and was accepted after revision for publication on 5 November 2003. * Corresponding author: Department of Mechanical Engineering, Indian Institute of Technology Kharagpur 721302, India.
香港科技大学土工离心机先进模拟技术在岩土工程中的应用_英文_
CLC number: TU41
1 Introduction In tackling some complex geotechnical problems, centrifuge modelling is often considered as a preferred experimental method. According to a survey conducted by the British Geotechnical Society in 1999, centrifuge modelling was ranked fifth in the list of the most important developments in geotechnics over the previous 50 years (Fig. 1). The ranking was based on responses from 68 geotechnical experts in academia, consulting, contracting and research organisations. It is clear from the survey that centrifuge modelling plays a key role in geotechnical engineering. In this paper, the kinematics, fundamental prin§ *
This ZENG Guo-xi Lecture (4th) was delivered on Nov. 27th, 2010 Project supported by the Program for Changjiang Scholars and the Innovative Research Team in the University of Ministry of Education of China (No. IRT1125), and the 111 Project (No. B13024), China © Zhejiang University and Springer-Verlag Berlin Heidelberg 2014
开放式增温对华南双季稻稻米品质的影响
中国水稻科学(Chin J Rice Sci), 2023, 37(1): 66-77 66 DOI: 10.16819/j.1001-7216.2023.220402 开放式增温对华南双季稻稻米品质的影响杨陶陶1邹积祥1伍龙梅1包晓哲1江瑜2张楠2张彬1, *(1广东省农业科学院水稻研究所/广东省水稻育种新技术重点实验室/广东省水稻工程实验室,广州 510640;2南京农业大学江苏省现代作物生产协同创新中心,南京210095;*通信联系人,email:*****************)Effect of Free Air Temperature Increase on Grain Quality of Double-cropping Rice in South ChinaYANG Taotao1, ZOU Jixiang1, WU Longmei1, BAO Xiaozhe1, JIANG Yu2, ZHANG Nan2, ZHANG Bin1,*(1Rice Research Institute/Guangdong Key Laboratory of New Technology in Rice Breeding/Guangdong Rice Engineering Laboratory, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; 2Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China; *Corresponding author, email:*****************)Abstract:【Objective】The double cropping rice growing area in South China is one of the main producing areas ofhigh-quality indica rice. However, the impact of global warming on rice quality of double-cropping rice in South Chinaremains unclear. 【Method】A field experiment was designed with ambient temperature treatment (CK) and whole growth period warming treatment (W). The warming treatments were generated with free air temperature increase (FATI) facilities. The milling, appearance, nutritional and eating quality of early rice (i.e., Hefengsimiao in 2020 andYuehesimiao in 2021) and late rice (i.e., Yuehesimiao in 2020 and 2021) were compared and analyzed between CK andwarming treatments. 【Result】Compared to the CK, the warming treatment (early rice, 1.5–1.8 ℃; late rice, 1.9–2.0 ℃) had no significant effect on the brown rice rate of early and late rice. The milled rice rate and head rice rate ofearly rice decreased significantly, while the milled rice rate and head rice rate of late rice did not change under warmingconditions. The warming effects on the chalky grain rate and chalkiness fallowed opposite trends between the early andlate rice. Warming significantly increased the chalky grain rate and chalkiness of early rice, but decreased the chalkygrain rate of late rice. The amylose contents of early and late rice decreased, while the protein contents increased underwarming conditions. In addition, warming increased the peak viscosity and stickiness of early and late rice, while decreased their setback, pasting temperature and hardness of late rice. Correlation analysis showed that the changes inrice flour pasting property and cooked rice texture of early and late rice were mainly related to the reduction in amylosecontent under warming conditions. 【Conclusion】Warming worsens the milling and appearance qualities of early rice,but it is beneficial to improving its nutritional and eating quality. The appearance, nutritional and eating quality of laterice are improved under warming conditions.Key words: global warming; double-cropping rice; grain quality摘 要:【目的】华南双季稻区是我国优质籼稻的主产区之一,研究气候变暖对华南双季稻稻米品质的影响具有重要意义,【方法】采用稻田开放式主动增温系统对早稻(合丰丝苗,2020年;粤禾丝苗,2021年)和晚稻(粤禾丝苗,2020和2021年)进行全生育期昼夜不间断增温处理,分析增温对早、晚稻加工、外观、营养和食味品质的影响。
脐带缆电单元参数计算的有限元方法
A Finite-Element Approach for Calculating Electrical Parameters of Umbilical CablesBjørn Gustavsen ,Senior Member,IEEE ,Are Bruaset,Jarle J.Bremnes,and Arild HasselAbstract—This paper presents a systematic approach for cal-culating electrical per-unit-length parameters of signal cables by the finite-element method.The associated software (UFIELD)has been specifically adapted to umbilical cables used in offshore con-trol applications.Efficient and robust case specification is achieved through a library of predefined,parametrized models for the um-bilical elements (signal cables,pipes,armors).Additional features include automated specification of boundary conditions and exci-tations,adaptive mesh generation,and the handling of twisted el-ements and layers.The approach is validated against analytical solutions.Application to the Snøhvit control umbilical shows ex-cellent agreement with measured signal parameters,for the triad element alone,and for the triad element inside the umbilical.Sim-ilar results are obtained for the Ormen Lange quad element.Index Terms—Capacitance,electrical parameters,finite-element method (FEM),impedance,umbilical cable.N OMENCLATUREBold,capital letter()Matrix of elements.Bold,small letter ()Vector of elements.I.I NTRODUCTIONTHE electrical modeling of cables for the simulation of electromagnetic (EM)transients,harmonics,and signal transfer requires calculating the per-unit-length parameters of the series impedance and shunt capacitance.For the modeling of high-voltage power cables,the impedance calculations are usually performed by using analytical expressions that assume a cylindrically,symmetric current distribution (skin effect)over conductor surfaces [1]–[3].Although this approach is computationally highly efficient,it can lead to noticeable errors since the proximity effects cause an uneven current distribution over conductor surfaces.The errors can be quite substantial in the case of signal cables since the insulation is often very thin compared to the conductor diameter,and because there is no metallic screening associated with each conductor.Also,theManuscript received November 05,2008;revised February 12,2009.This work was supported by Nexans Norway.Current version published September 23,2009.Paper no.TPWRD-00796-2008.B.Gustavsen and A.Bruaset are with SINTEF Energy Research,Trondheim N-7465,Norway (e-mail:bjorn.gustavsen@sintef.no).J.J.Bremnes and A.Hassel are with Nexans Norway,Halden N-1752,Norway (e-mail:jarle.bremnes@).Color versions of one or more of the figures in this paper are available online at .Digital Object Identifier 10.1109/TPWRD.2009.2028481capacitance is difficult to calculate because the electric-field pattern is noncoaxial.The limitations of the traditional modeling approach have be-come a major issue in the modeling of umbilical cables for off-shore applications.These cables are used for the control and monitoring of subsea equipment,which is needed for operating oil and gas fields.Umbilical cables normally contain a package of hydraulic flow lines and electrical wires for the transfer of signal and power.Some of the recent developments involve um-bilical cables in excess of 100km,being the dominating cost of the control system.For these long cables,the signal attenuation in the kilohertz range is often a dimensioning criterion for the cable design and,thus,its cost.The ability to accurately calcu-late the electrical parameters of these cables is made difficult even further by magnetic induction effects in the hydraulic flow lines and the external armor as well as the rotation of elements within the cable.One way of accurately taking the skin and proximity effects into account is with the use of the partial subconductor equiva-lent circuit method [4]but the approach can be very demanding in computer resources [5].The capacitance associated with non-coaxial fields can be calculated by using the harmonic expansion method [6]but that method can be difficult to apply for the non-homogenous insulations encountered in signal cables.On the other hand,the finite-element method (FEM)[7]al-lows to take into account the actual (uneven)current distribution over conductor surfaces and to handle noncoaxial electric fields.A particularly suitable formulation for impedance calculations is the one introduced by Weiss and Csendes [8],which gives the impedances as part of the solution vector.That approach has later been adopted in many works [9]–[11].Other formulations can also be used (e.g.,[12]).This paper describes a computational tool (UFIELD)that has been created specifically for the modeling of umbilical cables.The approach is based on 2-D FEM for calculating the series impedance and the shunt capacitance.Within UFIELD,a dedi-cated signal module has been developed which is used for the design and analysis of umbilical cables for control applications.The module achieves a highly effective work environment through a library of predefined,high-level elements,such as signal cables,pipes,and armoring.Appropriate excitations and boundary conditions are automatically generated while considering the effect of twisting.The FEM implementation is validated against an analytical solution for a coaxial con-ductor arrangement.Finally,the implementation is compared with measurements on the Snøhvit control umbilical and an electrical element of the Ormen Lange control umbilical.0885-8977/$26.00©2009IEEEFig.1.1System matrix.II.I MPEDANCE AND C APACITANCE C ALCULATIONS A.ImpedanceThe objective is to obtain the per-unit-length voltage drop along a set of parallel conductors due to a specific current ap-plication.At any longitudinalposition ,the series impedancematrix relates the phase currents to the voltagedrops(1)The relevant 2-D field problemis(2)where the magnetic vectorpotential and the current sourceterm are inthe direction.The voltage drops in (1)due to a current application can be directly calculated by an FEM formulation for (2)that was in-troduced by Weiss and Csendes [8].That approach leads to theaugmented (3),shown for the single conductorcase.is the conductor surface area and is the total conductor current.The left partition of (3)has one column for each mesh node.For de-tails regarding matrix assembly,we refer to[8](3)Equation (3)naturally extends to the multiconductor case by introducing one additional row and column for each conductor.For a given current application ,the voltagedropsare now directly available in the solution vector.The building of the system is illustrated in Fig.1for a two-conductor system,assuming a triangular mesh and first-orderelements.denotes the triangle area.B.CapacitanceThe relevant field problem in nonconductive regions is given by the ellipticequation(4)where is the scalar electric potential.With the voltage on conductor surfaces and the cable surface taken as boundary conditions,the fieldsolution in the solution region is calculated by using the FEM via theenergyFig.2.Two-layer control umbilical.Twisting of electrical elements and layers.(5).The approach is standard and can be found in many works[12](5)III.T WISTING E FFECTSControl umbilicals contain a number of elements,such as signal cables and steel pipes,for hydraulic flow (see Fig.2).The objective is to calculate the electrical parameters with re-spect to a selected signal element,the active element.In prac-tice,every electrical element (pair,triad,quad)is twisted around its own axis to minimize crosstalk.In addition,the elements are often organized in layers that are twisted in opposite directions to achieve torsion stability.The following twisting effects occur for the electrical parameters of the active element.1)Element twisting:The twisting of the active element causes the lateral distance between a conductor within the element to conductors and pipes outside the element to vary peri-odically along the umbilical.As a consequence,currents in the active element without external return will not induce any net current in conductors/pipes external to the element.In addition,a small increase of the loop inductance results due to a magnetic-field component in the longitudinal di-rection [13].2)Layer twisting:For a fixed rotational position of the ac-tive element,the lateral distance to elements in other layers varies periodically along the umbilical.In addition,the el-ements within the layer experience a small length increase which increases the electrical parameters of signal cables within the layer.The twisting effects are in this paper accounted for by aver-aging the impedance parameters for several rotational positions and by usage of appropriate boundary conditions,more about this in Section V.IV .E XCITATIONSA.Operational ModesA dedicated signal module has been created for the analysis of control umbilicals.The user selects an electrical element (pair,GUSTA VSEN et al.:FINITE-ELEMENT APPROACH FOR CALCULATING ELECTRICAL PARAMETERS 2377TABLE IO PERATIONAL M ODE ,A CTIVE E LEMENT ,P ARAMETER TYPETABLE IIP ARAMETER T YPE AND A SSOCIATED EXCITATIONtriad,quad)within the umbilical,for which electrical parameters are to be calculated (active element),and specifies a mode of operation.Valid combinations of operational modes and active elements are listed in Table I,as well as the type of parameters that are generated.For instance,for a triad element,the user can in the three-phase mode request to calculate positive-and zero-sequence parameters,and in the signal mode,request to calculate loop parameters associated with two of the phases.Table II lists the excitations that are associated with the various parameter types.(The phantom mode is used for power supply over quad elements).In Table II,the quad phase numbering is such that the loop excitation constitutes a diagonal pair.B.Impedance CalculationThe impedance associated with a parameter type is calculated via a single current excitation,applied to the active element.For instance,the positive-sequence impedance of a triad is calcu-lated by applying the currentvector(6)From the obtained column vector ofimpedances ,the posi-tive-sequence impedance is calculatedas(7)In calculations without ground return (i.e.,positive sequence,phantom,and loop),the rotation of the active element will pre-vent the induction of any net current in other conductors and pipes;only eddy currents will be induced.This condition is en-forced by specifying zero (net)current on neighbor conductors and pipes.In zero-sequence calculations,the rotation of the active el-ement will not prevent net currents from flowing in grounded pipes and armors.This situation is handled as follows.Consider a triad element.The triad phases are given conductor numbers 1,2,3,and all grounded conductors (pipes,armors)are given a common conductor number 4.Conductors of other electricalelements are given separate phase numbers().Equa-tion (3)is solved two times,the first time when applying a cur-rentand the second time with acurrent .The calculated voltage drops on the triad con-ductors are averaged and the induced voltage on ungrounded conductors is ignored.This defines the22system (8),where subscripts 1and 2,respectively,denote the triad equivalent con-ductor and the grounded pipes/armors equivalentconductor(8)In order to take into account the effect of zero-sequence cur-rents in the sea external to the FEM solution boundary,we adda common impedanceterm to allelementsof (8),similar to [9].This term is taken as the inner surface impedance of a conductor with infinite thickness and innerradius and is equalto the radius of the (circular)FEM solution boundary().The surface impedance [14]can be writtenas(9)Finally,the equivalent pipe/armor conductor is eliminated byspecifying in (8).This modeling permits net cur-rents to flow to earth through grounded conductors as well as currents to circulate among them.The effect of the twisting on lateral distances is accounted for by calculating the series impedance for several rotational posi-tions,from which an average value is calculated.This accounts for element twisting and layer twisting.The FEM solution boundary is taken as circular with radius at least ten times the conductor separation of the active cableelement.The Dirichletconditionis specified on the boundary.C.Capacitance CalculationThe capacitance associated with an excitation type (Table II)is calculated via a single voltage excitation.For instance,the positive-sequence capacitance is calculated by applying a voltagevector(10)The capacitance obtained from the energy by (5)is directly equal to the positive-sequence capacitance.Umbilical cables are always flooded when in service.This means that the sea water penetrates the cable and,therefore,produces a zero electric potential on the surface of all elements.This greatly simplifies the capacitance calculation since only the (active)electrical element needs to be considered in the analysis.V .I MPLEMENTATION I SSUESputational PlatformMatlab with the PDE Toolbox [15]was selected as a computa-tional platform.The PDE Toolbox is a collection of open-source m-files that can create and solve the relevant field problems,and it has support routines for mesh generation and plotting of re-sults.The toolbox is used for generating the partition2378IEEE TRANSACTIONS ON POWER DELIVERY,VOL.24,NO.4,OCTOBER2009Fig.3.Signal pair element and userinput.of the system matrix for the impedance problem(3),whilethe remaining rows and columns are created separately as shownin Fig.1.The toolbox is also used for creating and solving thecapacitance problem,directly giving the requiredenergy in(5).Another advantage of this platform is the ability to seam-lessly create and integrate user interfaces and auxiliary pro-grams within the Matlab environment.B.Parametrized ElementsA complete umbilical cable is assembled by picking prede-fined elements from a menu.For instance,the specification ofa pair element without armor is performed as shown in Fig.3.(Extra menus are available for changing material properties).With each element,a routine is associated that creates a defini-tion of geometry and material properties for the element.Thisapproach has several advantages as follows.1)Automated computation of the exact geometry data asso-ciated with a given element.2)Automated specification of boundary conditions associ-ated with a given excitation,see Sections V-B and C.3)Robust mesh generation.For instance,small overlaps be-tween the insulators in Fig.3are deliberately introduced toavoid the problem of extremely sharp elements at boundaryintersections in the capacitance problem.Fig.4shows the row-wise decomposition of the pair ele-ment in Fig.3into subelements.(The current implementation ofUFIELD defines elements from circular subelements).Thefirstcolumn defines the phase numbering.Negative integers “”and“”denote semiconductors and insulators,respectively.Grounded conductors would be denoted by a zero.Further pa-rameters are the subelementposition and the elementouterradius.The last column(ph#)is used for associatingaFig.4.Generated datafile for the pair element(loop excitation).semiconductor with a conductor,for use in the capacitance cal-culations.Only thefirst few digits are shown in Fig.4due tospace limitations.By concatenating the datafiles of all elements in the givencase,a complete description is obtained which is further pro-cessed for use in the impedance and capacitance calculations.C.Mode of OperationThe user chooses a mode of operation(signal,power,or threephase)and selects the element(pair,triad,quad)for which theelectrical parameters are to be calculated.This information isneeded for assigning the phase numbering and for the postpro-cessing of the result from the FEM computations as describedin Section V.For the impedance calculation,the user must alsospecify the frequency and temperature.D.Adaptive Mesh GenerationThe mesh is generated by using the routine adaptmesh.m inthe PDE toolbox.Here,an initial mesh isfirst generated andnew triangles are added where the change to the electric(ormagnetic)field is largest.The process of solving and addingnew triangles is repeated until a specified number of triangles isreached.E.Semiconductive ScreensSemiconductive screens are normally in contact with metallicconductors and can therefore be removed from the impedanceproblem due to their poor conductivity compared to a metal.In the capacitance problem,the screens are handled by ex-tending the metallic surface to cover the semiconductor.Thiscan be done since the screens effectively short-circuits the elec-tricalfield.F.Temperature EffectsThe impact of the actual temperature on electrical resistivityis accounted for by the standardformula(11)VI.V ALIDATION A GAINST THE A NALYTICAL S OLUTIONThe FEM approach is validated by comparison with the an-alytical solution of the cylindrically,symmetric geometry inFig.5.GUSTA VSEN et al.:FINITE-ELEMENT APPROACH FOR CALCULATING ELECTRICAL PARAMETERS2379Fig.5.Coaxial transmissionline.Fig.6.Loop resistance.The loop impedance associated with the core-sheath loop is given as[1](12)(13)(14)(15)(16)whereand denote the modified Bessel function of the first and second kind,respectively.Figs.6and 7compare the resistance and inductance of the loop inductance with the result from UFIELD,for two different mesh densities.It is seen that the FEM solution approaches the theoretically correct solution as the number of triangular ele-ments ing a 1.3-GHz Pentium processor,the com-putation time for solving the FEM problem was 0.35s and 4.7s for the two mesh densities (excluding the time needed for mesh generation).With the outer shell in Fig.5on ground potential,the loop capacitance is givenby(17)Fig.7.Loop inductance.TABLE III L OOP CAPACITANCETable III compares the theoretical loop capacitance with the solution by FEM.It is seen that increasing the number of trian-gles gives a result that tends to the theoretical solution.VII.E XAMPLE :S NØHVIT C ONTROL U MBILICALA.ProjectThe Snøhvit control umbilical connects the Snøhvit gas field [16]in the Barents Sea with the Melkøya gas treatment plant in Hammerfest,North Norway.The cable length is 144km.The cable contains two triad elements that are used for a three-phase power supply at 3kV ,and two fiber-optics cables for signal transmission,see Fig.8.Backup of the signal transmis-sion is achieved by superimposing a signal voltage on two of the conductors.B.Modeling of Triad Single Element Each conductor of the 25mm triad elements (Fig.8)consists of seven round strands that have been compacted and squeezed through a nozzle.A semiconductive layer has been sprayed on top of the conductors.Each triad is fitted with polyethylene (PE)filler elements and a PE jacket,with petroleum jelly filling the voids.Fig.9shows a UFIELD representation of the triad element by seven round (uncompressed)strands.The outer surface of the semiconductive layer is seen to be parallel to that of the strands,similar to that as in Fig.8.The conductor resistance is chosen to be equal to the measured resistance at dc.Geometrical data and material properties are given in Table IV.The capacitance associated with the signal transfer on twophases is calculated by applyingvoltagesto the three ing adaptive meshing,an initial mesh of 2287elements was increased to 5133elements (total computa-tion time:4.4s).This gave a capacitance of 69.1nF/km.The re-sulting field pattern is shown in Fig.10.Note that the conductors2380IEEE TRANSACTIONS ON POWER DELIVERY ,VOL.24,NO.4,OCTOBER2009Fig.8.Snøhvit umbilicalcable.Fig.9.UFIELD representation of Snøhvit 3-kV triad element.TABLE IVT RIAD E LEMENT DATAhave been automatically extended to cover the semiconductors,as explained in Section VI-E.The series impedance is calculated by specifying a currentapplication.Fig.11shows the resulting current density (magnitude)on the conductors at 10.1kHz,calculated by (18)as a postprocessing step.It is seen that the current on the twoactiveFig.10.Electricpotential.Fig.11.Current density (f =10.1kHz).conductors is affected by the skin effect and proximity effects,and that eddy currents are induced on the third conductor.The adaptive meshing increased an initial mesh of 8184triangles to 24712triangles in six iterations.Total computation time:30.6s(18)C.Modeling of Triad in UmbilicalFig.12shows the UFIELD geometry model of the complete umbilical cable.The umbilical has two triads,four hydraulicflow lines of super-duplex steel(,),two armored fiber-optics cable,and one 0.4-mm external steeltape armor(200,S/m).The extruded filler elements used for mechanical support (Fig.8)are excluded from the calculations since they do not affect the electrical properties since the sea water will penetrate the umbilical cable.The signal-loop capacitance is the same as for a triad alone,since the triad surface is on ground potential for a flooded um-bilical.In the impedance calculations,the loop impedance de-pends on the rotational angle for the electrically active triad.Here,UFIELD is requested to calculate the impedance as anGUSTA VSEN et al.:FINITE-ELEMENT APPROACH FOR CALCULATING ELECTRICAL PARAMETERS2381Fig.12.Snøhvit umbilical:geometry inUFIELD.Fig.13.Magnetic vector potential (10.1kHz).average of eight rotational angles.Fig.13shows the magnetic vector potential for one of the positions.The associated mesh is shown in Fig.14.A comparison with Fig.13shows that the mesh density is high where the change in the field is high,which is due to the adaptive mesh parison With MeasurementsThe signal (loop)parameters were measured on a 273-m straight segment of the triple element,when submerged in sea water.The parameters are shown in the left part of Table V,as function of frequency,and they are compared with calculated parameters by UFIELD.It can be seen that excellent agreement has been achieved.The right part of Table V shows the corresponding result when the triad has been placed inside the umbilical.In the measurements,the cable is straight and about 300m in length.Again,very good agreement is achieved between measure-ments and computations.A comparison with the left part (triad alone)shows that the presence of neighbor pipes and armor appreciably affects the resistance and inductance.ThecauseFig.14.Triangular mesh.TABLE VM EASURED VERSUS C ALCULATED L OOP PARAMETERSfor the deviations can be related to errors in the assumed values for the resistivity and permeability of the steel tape.In addition,some error will exist for the measurements.It is further observed that the discrepancies between calcula-tions and measured results tend to increase with increasing fre-quency.This result is most likely a consequence of more pro-nounced eddy current effects.At 10.1kHz,the penetration depth in copper is 0.65mm,which is a fraction of the strand diameter of the phase conductors (2.0mm).At such high frequencies,the actual surface shape of the phase conductors will significantly affect the current distribution on the conductors and,hence,the impedance.Indeed,Fig.8shows that the outer surface of the strands have been flattened in the production process,thus de-viating from the assumed circular shape in Fig.9.In order to further improve the accuracy of the computations,one would have to represent the actual shape of the conductors.It is also possible that the measurement errors increase with increasing frequency.2382IEEE TRANSACTIONS ON POWER DELIVERY ,VOL.24,NO.4,OCTOBER 2009TABLE VIC OMPUTATION T IME (IN SECONDS)TABLE VIIC ALCULATED L OOP P ARAMETERS VERSUS S TEEL T APE PERMEABILITYE.Timing ResultsIn order to save computation time,the mesh was created at the highest frequency point (10.1kHz).The obtained mesh was then assumed to be adequate for all of the five frequencies.Table VI summarizes the computation time for analyzing the triad alone and triad in umbilical cases (1.3-GHz Pentium processor).The computation time for the triad in umbilical is for a single rota-tional position,requiring a minimum of 45000triangles.(The computation time with the eight rotational positions in Table V is about eight times higher.)F .Sensitivity AnalysisThe steel tape armor has,in reality,a nonlinear relative per-meability whereas a constant valueof 200was used in this study,similar to [17].The relative permeability is usually taken as 300for three-phase cables with steel-tape armoring,ac-cording to IEC 60287[18].For the considered umbilical cable,one can,however,expect lower magnetic-field strengths than in power cables,due to the much lower current levels.It is there-fore possible that the permeability is substantially lower than 300.Table VII shows the calculated resistance and inductance at 50Hz and 6kHz,for alternative valuesof .It is seen that increasing the permeability from 200to 400changes the elec-trical parameters by less than 1%.Reducing the permeability to a value of 10reduces the inductance by 3.2%at 50Hz and by 2.6%at 6kHz,while the reduction in resistance is by 1.3%at 6kHz.VIII.E XAMPLE :O RMEN L ANGE Q UAD E LEMENTThe Ormen Lange gas field [19]in the Norwegian Sea is con-trolled from Nyhamna in Møre,mid-Norway,via two umbilical cables.Cable length:125km.In the following text,we show results for one of the 13.3mm quad elements that is used in the umbilicals,see data in Table VIII.The quad element is used for the power supply (phantom)and signal transmission (loop)on diagonal pairs.Each conductor has seven copper strands and is fitted with a semiconductive layer,see Fig.15.It is observed that the strands are almost completely round and that theouterFig.15.Ormen Lange 3-kV quadelement.Fig.16.UFIELD representation of the Ormen Lange quad element.TABLE VIII Q UAD E LEMENT DATAsurface of the semiconductors follows that of the strands.The representation in UFIELD is shown in Fig.16.Table IX compares measured and calculated values for loop and phantom parameters.The impedance measurements were made on a 272-m straight cable on land while the capacitance measurements were made on a 280-m cable on drum,sub-merged in water.It can be seen that very good agreement has been obtained for the resistance and inductance,both for the loop mode and the phantom mode.The deviation is,however,substantial for the loop resistance at 15.5kHz and 50kHz.Also,the calculated capacitance is too low by about 2%for the loop and phantom modes,respectively.Note that the loopGUSTA VSEN et al.:FINITE-ELEMENT APPROACH FOR CALCULATING ELECTRICAL PARAMETERS 2383TABLE IXM EASURED VERSUS .C ALCULATED P ARAMETERS .(16C )(Q UAD A LONE)inductance values as calculated by UFIELD have been scaled by a factor of 1.02to account for the twisting of the element (300-mm lay length).The factor was obtained based on the procedure described in [13]which considers the magnetic-field component in the longitudinal direction.IX.D ISCUSSIONApplication of UFIELD to the Snøhvit control umbilical has demonstrated its ability to predict electrical parameters in the kilohertz range with high accuracy.Close agreement with mea-surements was achieved for the loop values of resistance,in-ductance,and capacitance,although the resistance was under-estimated at high frequencies.It was also shown that the re-sistance and inductance values increase substantially when the signal cable is placed within a complete umbilical.In practice,this means that the impedance must be recalculated for each um-bilical cable design.Good agreement with measurements was also achieved for loop and phantom parameters of the Ormen Lange quad element.The cable parameters are quite sensitive to the inaccuracies in the geometry description.In particular,the representation of the conductors is difficult since the conductor surface depends on the manufacturing process.Table X shows the effect of treating the conductors of the Snøhvit triad cable as massive (single strand)rather than seven round strands.(The massive conductor has the same outside diameter and dc resistance).It is seen that ignoring the stranding leads to a substantial reduction of the loop inductance,at all frequencies.In addition,representation by a single strand increases the loop capacitance,as shown in Table XI.Other errors result from variations in the thickness of the insulation layers and from the deviation of their assumed circular shape.The latter is easily observed by comparing the outer surface of the Ormen Lange quad element (Fig.15)with that of the model (Fig.16).TABLE XT RIAD L OOP I NDUCTANCE VERSUS C ONDUCTOR M ODELING (T RIAD A LONE)TABLE XIT RIAD L OOP C APACITANCE VERSUS C ONDUCTOR M ODELING (T RIAD A LONE)TABLE XIIT RIAD L OOP I NDUCTANCE VERSUS B OUNDARYC ONDITIONS (T RIAD IN U MBILICAL)The material properties may also be difficult to acquire.In this paper,the correct dc resistance was obtained from mea-surements.The relative permittivity of the jelly was obtained by measurements while all remaining material parameters are assumed values.Correct specification of boundary conditions is also im-portant.Table XII shows the effect of incorrectly treating the steel pipes and armoring as grounded,during the impedance calculations.As was explained in Section V-B,grounding these conductors (and the copper conductors)will result in net cur-rent flows in these conductors in addition to the eddy currents.The net current component leads to a magnetic shielding effect which,in turn,reduces the loop inductance at high frequencies.X.C ONCLUSIONThis paper has introduced a systematic approach for the cal-culation of electrical parameters of umbilical cables by 2-D fi-nite-element computations.1)The impedance matrix is calculated by the approach by Weiss and Csendes and the capacitance matrix is calculated via the energy of the electrical field.2)Usage of predefined definitions for the various cable ele-ments (signal cables,pipes,armors)allows assembling a complete umbilical in a short time.3)The twisting of elements and layers is accounted for by averaging the impedances for several rotational positions,and by appropriate usage of boundary conditions.4)The accuracy of the procedure has been verified against theoretical solutions.。
出口边界条件和壁厚对冠状动脉壁面剪切力和冯米塞斯应力的影响
出口边界条件和壁厚对冠状动脉壁面剪切力和冯米塞斯应力的影响徐创业1,2 刘修健1,2 吴广辉1,2 何玉娜1,2 舒丽霞1,2 蔺嫦燕1,2#*【摘要】探讨基于个体化患者计算机断层血管造影(CTA)影像的冠状动脉流固耦合(FSI)数值分析中,不同出口边界条件和血管壁模型对时间平均壁面剪切力(TAWSS)和冯米塞斯应力(VMS)的影响。
根据患者CTA影像重建右冠状动脉(RCA)管腔流域三维几何;将管腔流域表面向外扩张0.5 mm,形成均匀厚度血管壁;运用类似虚拟去除斑块的方法建立不均匀厚度血管壁模型。
FSI分析时,分别给予zero和impedance两种出口边界条件;获得从舒张末期开始心动周期主要时间点TAWSS和VMS的分布,比较不同模型结果的差异。
结果表明, 两种出口边界条件下,TAWSS空间分布基本一致,且血管狭窄段均高于其他部位;zero条件下峰值VMS出现在压强最大时刻点0.42 s,而impedance条件下峰值VMS出现在入口血流速度最大时刻点0.64 s,并且达到前者的20倍。
同是impedance出口边界条件时,TAWSS分布基本一致,没有显著性差异;两种血管壁模型中,VMS的分布一致,血管狭窄段比其他部位低,但是不均匀厚度血管壁模型中局部位置VMS绝对值高于均匀壁厚血管壁模型。
医学影像技术的发展可以提供更高精度的冠脉结构以及出入口速度和压强边界条件,不但对研究血流动力学以及结构力学因素与心血管疾病的关系具有重要意义,也可以更好的服务于患者个体化诊断与治疗。
【期刊名称】中国生物医学工程学报【年(卷),期】2016(035)004【总页数】7【关键词】冠状动脉;流固耦合;边界条件;时间平均壁面剪切力;冯米塞斯应力引言临床资料表明,冠状动脉粥样硬化斑块易发于血管的弯曲及分叉等部位[1]。
这一现象提示,除系统性危险因素外,血管局部的生物力学环境对斑块的起始、发展甚至破裂都有重要影响,并且在多项研究[2-7]中得到了证实。
Theeffectofrefra...
Contents lists available at ScienceDirectApplied Surface Sciencejournal homepage:/locate/apsuscFull length articleThe effect of refractory(Zr,Hf)elements on the magnetocaloric property ofMn-based alloysA.Y.Lee a,b,S.Y.Kim a,Y.D.Kim b,M.H.Lee a,⁎a Advanced Process and Materials R&D Group,Korea Institute of Industrial Technology,21999Incheon,Republic of Koreab Department of Materials Science and Engineering,Hanyang University,04763Seoul,Republic of KoreaA R T I C L E I N F OKeywords:Magnetocaloric effectMagnetic entropy changeCrystallographic anisotropyMagneto-crystalline anisotropyA B S T R A C TThis study was investigated the effect of additional elements on the magnetocaloric property in MnFeMPGe(M=Zr,Hf)alloys.The magnetocaloric property of alloys depending on the decrease of the additional elementwas enhanced about7.52J/kgK and94.84J/kg at242K in the Mn1.2Fe0.79Zr0.01P0.6Ge0.4alloy.We were able todeduce that the magnetocaloric property was affected by the strong magneto-crystalline anisotropy resultingfrom high volume%of main phase(≥50%).The strong magneto-crystalline anisotropy was induced by thehomogeneous dendritic structures and distinct main peak with plane in Mn1.2Fe0.8−x(Zr,Hf)x P0.6Ge0.4(x=0.01,0.05,0.1)alloys.1.IntroductionRecently,there are many efforts to improve the earth environment.Specifically,refrigerants in cooling devices are changed an eco-friendlymaterials such as carbon dioxide or liquefied petroleum gas[1–3].Among eco-friendly refrigerants,solid state magnetic materials havebeen interesting[4,5].The magnetic materials such as MnFe-basedmagnetocaloric alloys,particularly MnFePGe alloys,have a lot of ad-vantages rge magnetocaloric effect,rare-earth free,and low cost.There were many experiments to enhance the magnetocaloric propertyby adding the constitute elements in MnFePGe alloys[6–9]and todemonstrate the relationship between magnetic properties such asmagnetization or magnetic flux density and crystallographic orientationin FeCrNi or electrical steel alloys[10,11].The magnetocaloric prop-erty such as Curie temperature and magnetic entropy change could bechanged by concentrations of the constitute elements because that isinfluenced by the magnetic interactions dependence of variation ofoccupied atom sites and subsequently lattice parameters in conven-tional MnFePGe(Si)alloys[12,13].Although there existed half-Heusleralloys with MNiSn(M=Hf,Ti,Zr)as thermoelectric materials[14],upto now,there is no report that the effect of Zr or Hf element addition onthe magnetocaloric property in MnFePGe alloys.Moreover,the effect ofcrystallographic orientation on the magnetocaloric property inMnFePGe alloys is still unexplored.In this study,we investigated the effect of variation and con-centration of additional elements implementing large magnetocaloriceffect by tuning the refractory(Zr,Hf)elements in MnFePGe alloys.Inaddition,the effect of anisotropy of crystalline phases on the magne-tocaloric property of MnFe(Zr,Hf)PGe alloys was also evaluated.2.Material and methodsThe Mn1.2Fe0.8−x M x P0.6Ge0.4(M=Zr,Hf,x=0.01,0.05,0.1)al-loys were fabricated by using Mn2P(2N),Fe(4N),Zr(2N),Hf(3N),and Ge(5N)elements.The final ribbon samples were prepared by meltspinning under argon atmosphere after arc melting.The melt-spunribbons went through heat treatment for24h at1373K in high vacuum(10−5Torr)and cooled in the chamber.The micro and crystal structurewere analyzed by field emission scanning electron microscope(FE-SEM,Quanta200FEG)with X-ray energy dispersive spectroscopy(EDS),electron backscattered diffraction(EBSD),and X-ray diffraction(XRD,PANalytical,X'Pert PRO)with Cu-Kαradiation,respectively.In addi-tion,the magnetocaloric effect was analyzed at constant and varyingmagnetic field(0.01T and0to2T)by vibration sample magnetometer(VSM,Quantum design Inc.).Furthermore,the magnetic entropychange(ΔS m)and the relative cooling power(RCP)were calculated byusing the Maxwell relation with Gschneidner and Pecharsky method,respectively[15].3.Results and discussionIn SEM images of Fig.1,the alloys show dendritic structures excepthttps:///10.1016/j.apsusc.2019.01.271Received30July2018;Received in revised form26December2018;Accepted29January2019⁎Corresponding author.E-mail address:****************.kr(M.H.Lee).Applied Surface Science 478 (2019) 1004–1008Available online 30 January 20190169-4332/ © 2019 Elsevier B.V. All rights reserved.the H3sample with cellular structures.Particularly,homogeneous mi-crostructures from more uniform distributions of phases were exhibited in the Z1,Z2,and H1samples.The homogeneity of microstructures could be changed depending on the contents of constituent elements and consequently affected the magnetocaloric properties [16].All samples were separated into bright and dark areas marked as white and red colors arrow,respectively.According to EDS mapping in Fig.1,the bright and dark regions represented Ge-rich and P-richareas,Fig.1.The SEM images obtained from (a)Z1,(b)Z2,(c)Z3,(e)H1,(f)H2,and (g)H3content alloys,respectively,and EDS mapping of (d)Z1,(h)H1,and (i)H3in the Mn 1.2Fe 0.8−x (Zr,Hf)x P 0.6Ge 0.4(x =0.01,0.05,0.1)alloys.Table 1The chemical compositions indicated the arrow in the Fig.1by analyzing the EDS.wt%Z1(Zr 0.01)Z2(Zr 0.05)Z3(Zr 0.1)H1(Hf 0.01)H2(Hf 0.05)H3(Hf 0.1)WhiteRed White Red White Red White Red White Red White Red Blue P 0.2017.080.0516.20 3.1416.860.2316.310.1016.5515.290.1016.09Zr 0.150.240.410.00 3.920.00–––––––Mn 20.1737.6519.8839.1522.8942.5017.4337.9914.7430.1610.4910.1927.27Fe 27.4937.2728.8635.8926.1832.6729.2736.3332.5939.4641.3338.5345.00Hf –––––– 2.73 1.88 1.45 6.4330.44 1.75 2.03Ge51.997.7750.818.7543.877.9750.347.4951.127.392.4449.439.61respectively.However,the H3sample was shown Fe-rich compositions in overall areas and observed Hf-rich areas in the cellular structures (marked as white color arrow).The chemical composition of each re-gion marked as arrows in Fig.1is summarized in Table 1.These results were consisted with XRD patterns in Fig.2.The main phases were identified as Ge 6Fe 3Mn 4(hexagonal,p6/mmm)and HfFe 6Ge 6(hex-agonal,p6/mmm),and the secondary phase was analyzed by Mn 1.9P (hexagonal,m p62).Interestingly these two main phases were indicated as the minority phase in conventional MnFePGe alloys (hexagonal Fe 2P-type,m p62)[17–19].The major peak of main phase of MnFe(Zr,Hf)PGe samples varied depending on the concentration of additional Zr and Hf elements.Yang et al.[20]also reported that the effect of additional elements on phase formation and microstructure.They demonstrated the change of major peak and inhomogeneous microstructures de-pending on the increase of additional elements.As mentioned above,these variations are influenced by the atom sites and lattice parameters which varied to substitution of additional elements.Therefore,the critical peak with (1120)and (1213)planes in the Ge 6Fe 3Mn 4and HfFe 6Ge 6phases,respectively,became dominant as shown in the Z1and H1samples.On the other hand,the dominant peak of the Z3,H2,and H3samples was exhibited the {2119}plane in the Ge 6Fe 3Mn 4and HfFe 6Ge 6phases.In case of the Z2sample,the main peaks were in-dicated the (2113)and (0001)planes in the Ge 6Fe 3Mn 4and Mn 1.9Pphases,respectively.However,the other peaks included the (2119)plane were existed also with significantly strong intensity.In Fig.3,the orientation images indicated color mapping is shown with phase mapping and pole figure.Those EBSD images shown in Fig.3(a)–(f)were analyzed for crystallographic anisotropy of MnFe (Zr,Hf)PGe alloys.The pole figure image in Fig.3(g)presented that the orientations of MnFe(Zr,Hf)PGe alloys shown large magnetocaloric ef-fect were aligned to near the dotted line crossed the [3121]and [3120]orientations represented by sky-blue and green colors.The crystal-lographic anisotropy was higher in the Z1,Z2,and H1samples with homogeneous microstructures and critical main peak of the Ge 6Fe 3Mn 4or HfFe 6Ge 6phases with (1120)or {1213}planes.Furthermore,espe-cially the Z1sample with the highest crystallographic anisotropy was correlated to the behavior of larger volume %of the Ge 6Fe 3Mn 4main phase.The phase volume %in each sample is summarized in Table 2.In addition,the crystallographic anisotropy was decreased by increase content of additional Zr and Hf elements.It was reported that the magnetic properties of alloys were influ-enced by the crystallographic anisotropy [10,11].In Fig.4,the mag-netocaloric properties of the Z1,Z2,and H1samples with homogeneous microstructures,critical main peak of the Ge 6Fe 3Mn 4or HfFe 6Ge 6phases with (1120)or {1213}planes,and strong crystallographic aniso-tropy were larger than those of the Z3,H2,and H3samples.Never-theless,the Z2sample was indicated the strong crystallographic ani-sotropy and the main peak of the Ge 6Fe 3Mn 4phase with (2113)plane,the magnetocaloric properties were lower than those of the Z1and H1samples.It is considered that another peak of the Mn 1.9P phase with (0001)plane was coexisted with the main peak of the Ge 6Fe 3Mn 4phase with (2113)plane.Moreover,the peak of the Ge 6Fe 3Mn 4phase with (2119)plane was observed with considerable intensity rather than that in the Z1and H1samples.It was reported that magnetic materials have an easy and hard magnetization axes when magnetic field is applied.These magnetic materials could be easily and quickly magnetized if structures of those are became critical oriented texture with easy magnetization axes.That is called magneto-crystalline anisotropy [21,22].In the MnFe(Zr,Hf)PGe alloys,it was suggested that the (1120)and {1213}planes were crystal texture with easy magnetization direc-tion rather than the (0001)and (2119)planes.Therefore,the magneto-crystalline anisotropy of Z1and H1samples was higher than that of Z2sample as well as the other samples and sequently the magnetocaloric properties were enhanced.4.ConclusionsThe conventional MnFePGe alloys are promising candidates as non-rare earth element based magnetocaloric materials.In this study,the magnetocaloric properties of MnFePGe alloys were tuned by controlling the additional elements (Zr and Hf)in the Mn-based compound.In the case of Mn 1.2Fe 0.79Zr 0.01P 0.6Ge 0.4alloy with low concentration of ad-ditional element,the magnetocaloric properties were the largest at about 7.52J/kgK and 94.84J/kg at 242K among the other alloys with increased additional elements.The enhanced magnetocaloric property of Mn 1.2Fe 0.79M 0.01P 0.6Ge 0.4(M =Zr,Hf)alloys was due to the strong magneto-crystalline anisotropy resulting from large volume %(≥50%)of the Ge 6Fe 3Mn 4main phase,which was mainly influenced by homogeneous dendritic microstructures and distinct main peak of the Ge 6Fe 3Mn 4phase with the (1120)plane.Fig.2.The XRD patterns with phase peaks [red peak:Ge 6Fe 3Mn 4phase (JCPDS #00-030-0581),blue peak:HfFe 6Ge 6phase (JCPDS #00-047-1209),green peak:Mn 1.9P phase (JCPDS #01-079-1436)]and crystal orientations in the Mn 1.2Fe 0.8−x (Zr,Hf)x P 0.6Ge 0.4(x =0.01,0.05,0.1)alloys.Fig.3.The EBSD images with phase mapping of red(Ge6Fe3Mn4[(a)Z1,(b)Z2,and(c)Z3samples]and HfFe6Ge6[(d)H1,(e)H2,and(f)H3samples]phases)and green colors(Mn1.9P phase in all samples)and(g)pole figure with distribution of crystal orientations in each sample.Table2The magnetocaloric properties and the phase volume%in the Fig.3.Alloys T C(K)|△S M|(J/kgK)RCP(J/kg)Phase vol%Ge6Fe3Mn4HfFe6Ge6Mn1.9PZ1(Zr0.01)2427.5294.8455(50:3:2)–45(27:17:1)Z2(Zr0.05)227 6.1469.6422(15:5:2)–78(66:12)Z3(Zr0.1)1870.15 5.9164(38:21:5)–36(15:13:5:3)H1(Hf0.01)237 6.9986.89–3466(42:18:6)H2(Hf0.05)177 1.9140.59–21(11:10)79(22:18:18:12:6:3)H3(Hf0.1)4020.0070.16–79(50:14:5:4:3:2:1)21(8:8:3:1:1)AcknowledgementsThis work was supported by the Industrial Technology Innovation program,as funded by the Ministry of Trade,Industry &Energy (MOTIE),Republic of Korea through the Korea Evaluation Institute of Industrial Technology (KEIT)(No.10053101).This research was also financially supported by the Ministry of Trade,Industry and Energy (MOTIE)and Korea Institute for Advancement of Technology (KIAT)through the International Cooperative R&D program (No.P0*******).References[1]N.Abas,A.Kalair,N.Khan,A.Haider,Z.Saleem,M.Saleem,Natural and syntheticrefrigerants,global warming:a review,Renew.Sust.Energ.Rev.90(2018)557–569.[2]S.Mohammadi,Theoretical investigation on 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with different perovskite layer number,J.Am.Ceram.Soc.101(2018)2417–2427.Fig.4.(a)Temperature curve dependence of magnetization and (b)temperature curve dependence of magnetic entropy change in the Mn 1.2Fe 0.8−x (Zr,Hf)x P 0.6Ge 0.4(x =0.01,0.05,0.1)alloys.The insets in (a)and (b)are curves of Z3and H3samples.。
边缘带效应作文
边缘带效应作文The Phenomenon of Edge Effect in Nature and SocietyIn the realm of both nature and society, the phenomenon of "edge effect" often plays a pivotal role. This term, often used in ecology, refers to the increased biodiversity and activity found at the interfaces between habitats or environments. However, its implications extend far beyond the biological sphere, manifesting in various social, cultural, and technological contexts.In the natural world, edge effects are observed at the boundaries of forests and meadows, where species diversity tends to be higher due to the interaction of multiple ecosystems. This is because the interface acts as a meeting point for species adapted to different habitats, fostering a rich exchange of genetic and ecological information. Similarly, coral reefs—which are themselves a product of edge effects—serve as vibrant hotspots of marine biodiversity, attracting a diverse array of marine life.The concept of edge effects extends to the social sphere, where it often manifests as a bridge between communities, cultures, or social groups. In urban settings, for instance, the intersection of different neighborhoods can serve as a vibrant melting pot of ideas, cultures, and people. This edge effect can foster innovation, creativity, and social cohesion, as individuals from diverse backgrounds mingle and exchange ideas.Technologically speaking, edge effects are also at play in the integration of different systems and platforms. The convergence of various technologies—such as the internet, mobile phones, and artificial intelligence—has created new edges where innovation and efficiency are maximized. These edges are not just physical but also conceptual, pushing the boundaries of what we can achieve.In conclusion, the phenomenon of edge effect is a powerful force that drives diversity, innovation, and progress in both natural and social systems. It reminds us that the interfaces between environments, cultures, and technologies are often the most dynamic and transformative spaces, where new ideas, solutions, and connections are born. By understanding and harnessing the power of edge effects, we can foster a more interconnected, innovative, and sustainable world.边缘带效应在自然界和社会中的体现在自然界和社会中,“边缘带效应”这一现象都扮演着重要的角色。
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IADC/SPE 111511Effects of Boundary Conditions and Friction on Static Buckling of Pipe in a Horizontal WellGuohua Gao, SPE, Chevron Corporation, and Stefan Miska, SPE, University of TulsaCopyright 2008, IADC/SPE Drilling ConferenceThis paper was prepared for presentation at the 2008 IADC/SPE Drilling Conference held in Orlando, Florida, U.S.A., 4–6 March 2008.This paper was selected for presentation by an IADC/SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper have not been reviewed by the International Association of Drilling Contractors or the Society of Petroleum Engineers and are subject to correction by the author(s). The material does not necessarily reflect any position of the International Association of Drilling Contractors or the Society of Petroleum Engineers, its officers, or members. Electronic reproduction, distribution, or storage of any part of this paper without the written consent of the International Association of Drilling Contractors or the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IADC/SPE copyright.AbstractA comprehensive buckling model, a group of fourth order non-linear ordinary differential equations, was derived by applying the principle of virtual work. Lateral friction force is included in this model. The equations were normalized to make the solutions independent of the wellbore size, type of pipe and mud. The critical sinusoidal buckling load of tubing with different boundary conditions typically seen in drilling and well completion applications was analyzed based on the analytical solution of the linearized buckling equation. The results show that the effect of the boundary conditions can be neglected when the dimensionless length of tubing is greater than π5. The authors further investigated the effects of friction on sinusoidal buckling by applying the principle of virtual work. The critical conditions for initiating sinusoidal buckling were determined by a group of three non-linear equations. A perturbation solution of these non-linear equations was obtained. It was found that the critical loads for sinusoidal buckling will increase by 30% to 70% for friction coefficients between 0.1 to 0.3. The authors also conducted an experimental study. The experimental results, including both data obtained by the authors and results published by other researchers, support the proposed model.IntroductionVarious pipes, including drill pipe, casing, tubing, coiled tubing, and sucker rods, are widely used in drilling, well completions, formation stimulation, water injection, and the pumping of wells. During drilling, completion, production, or stimulation operations, the drilling pipe or tubing may be subjected to some degree of axial compression, or the pressure inside the pipe may exceed the external pressure. In both cases, the pipe may lose its stability and buckle into a sinusoidal or helical shape. Consequently, stability and post-buckling analysis of pipe in various kinds of wellbores attracts intense interest from the petroleum industry. J.C. Cunha (2004) and R.F. Mitchell (2006(b)) presented an extensive review on the subject of buckling of tubulars inside wellbores.A. Lubinski et al. (1950, 1962) investigated the stability and helical buckling of drill string and tubing in vertical wells. P.R. Paslay and D.B. Bogy (1964) studied the stability of a circular, laterally constrained rod with two pinned ends in an inclined well by using the energy method. For a short rod, their critical load approaches that of Euler’s prediction when the rod is subjected to an axial compressive load without any lateral constraint except at both pin ends. For a long rod, theirformula can be simplified (R. Dawson and P.R. Paslay, 1984) as follows:c crs r EIqF 2=. Y. Chen, et al. (1990) derived thecritical load for helical buckling of a long pipe in a horizontal well with the energy method, ccrh r EIqF 22=. R.F. Mitchell (1988) established the equation describing the post-buckling configuration of a pipe constrained in an inclined well and the equation to calculate the normal contact force between the pipe and the wellbore0sin sin 62222244=++⎟⎠⎞⎜⎝⎛−θαθθθθcEIr q dx d EI F dx d dx d dx d , (1) θαθθθθθcos sin 432433222cc c EIr q dxd EIr F dx d dx d dx d dx d EIr N +⎟⎠⎞⎜⎝⎛+⎟⎠⎞⎜⎝⎛−+⎟⎟⎠⎞⎜⎜⎝⎛=. (2)2 IADC/SPE 111511Mitchell further investigated helical buckling, the axial friction force acting on the helically buckled pipes, and the effects ofwell deviation on helical buckling. He then obtained the analytical solutions for these equations (R. F. Mitchell, 1986, 1988, 1995, 1997, 1999, 2002, 2006(b)). A. Kyllingstad (1995) investigated the effects of wellbore curvature on the buckling of pipe in a curved well with the energy method. G. Gao (1996) derived the buckling equations of a pipe constrained in a three dimensional curved well by applying the static equilibrium equations. G. Gao also obtained the perturbations solutions for both sinusoidal buckling and helical buckling. S. Miska et al. (1995, 1996) and W. Qiu et al. (1998) analyzed the helical buckling of pipe subjected to axial load and torque, and the buckling of pipe in curved wells. Most of the buckling models proposed thus far do not consider the effects of boundary constraints and ignore the effects of lateral friction.P.V.R. Suryanarayana and R.C. McCann (1994, 1995) conducted an experimental study on the effects of friction on the buckling of a rod constrained in a horizontal well. Their experimental results show that friction has significant impacts on the critical load of both sinusoidal buckling and helical buckling. However, they did not establish a theoretical model to explain their observations. D. J. Miles and C. R. Calladine (1999) investigated the lateral thermal buckling of pipelines on the sea bed, and their results also show that lateral friction is an important factor in lateral buckling of pipeline. R. F. Mitchell (2006(a)) investigated the effects of friction on the initial buckling of tubing based on the assumption that the pipe rolls on the borehole wall.In summary, the effect of boundary conditions and friction on the buckling of pipe constrained in a wellbore has not been well understood and investigated. It is not known how many errors are introduced by ignoring the type of constraints on both ends of a pipe without a sound theoretical analysis. Also, a frequently asked question is: how long does a pipe need to be in order to neglect the effect of boundary counditions? At the same time, one can ask the question: when must the end conditions be considered in the calculation of the critical buckling force? It is also not known how and why lateral friction affects the initiation of buckling and post-buckling behavior of a pipe constrained in wellbores.The main objective of this paper is to establish a theoretical model that can provide satisfactory answers and solutions to the above issues, and to conduct experiments to verify the proposed theoretical model. While we will focus our discussions on a pipe in a horizontal wellbore, the methodology can be applied to inclined and curved wellbores as well.Theoretical Model Basic Assumptions1. The wellbore is a horizontal cylinder.2. The pipe is in continuous contact with the borehole.3. The clearance between the pipe and the well bore,c r , is small and the pipe’s deformation is in the elastic range.4. The effect of torque is negligible.5. The pipe slides against the borehole when it buckles. The direction of the sliding friction force does not reverse.6. The heat generated by friction dissipates into the surrounding environment and does not pass into the pipe.Analysis of Sliding Friction ForceWhen a pipe is subjected to an axial compressive load, it moves along the axial direction. As the axial load increases and exceeds its critical buckling load, the pipe also moves laterally. The spatial position of a point on the axis of a buckled pipe can be completely determined by its axial, radial, and angular displacements: )(x u , )(x r , and )(x θ. The positive angulardisplacement (0)(>x θ) is defined as shown in Fig.1(a). Let i x v x v r r )()(11= and q x v x v rr )()(22=, represent the velocity alongthe axial and lateral directions at a point x , where k j q r r rθθsin cos += (as shown in Fig. 1(a)), and i r , j r and k r are unitvectors along the x (axial), y (horizontal) and z (vertical) directions. The total velocity is q x v i x v x v rr r )()()(21+=, and thetotal sliding friction force is in the opposite direction of )(x v r. Let f denote the total sliding friction coefficient, while )(1x f and )(2x f represent the axial and lateral components of the sliding friction coefficient at the location x . The following identities hold: 22221)()(f x f x f =+, and)()()()(2121x v x v x f x f =. Thus, we have )()()()(222111x v x v fx v x f += and)()()()(222122x v x v fx v x f +=.We now consider a pipe that does not rotate and assume that the pipe slides on the wellbore instead of rolling on it. As shown in Fig. 1, the pipe slides upward to the right hand side for 0)(>x θ, and the lateral friction force q N f F f rr 22−= isopposite to k j q r r rθθsin cos += and points downward. However, if the pipe slides upward to the left hand side for 0)(<x θ, thelateral friction force is in the same direction as q r , i.e.,q N f F f rr 22=, as shown in Fig. 1(b). The lateral friction force is not aIADC/SPE 111511 3continuous function of )(x θ. Such a discontinuity of the friction force as a function of )(x θ brings about some difficulty in obtaining the analytical solution for the buckling equations, and we must use the energy method to obtain a solution.(a) (b)Fig. 1 Direction of lateral friction force for 0)(>x θ (a) and 0)(<x θ (b) .Static Buckling Equations and Their NormalizationA detailed analysis of the forces acting on a pipe constrained in a horizontal well, the net work (W ) done by these forces, and the elastic deformation energy (U ) are given in Appendix A and Appendix B. The difference between the elastic deformation energy and the net work done by all external forces,W U −=Π, represents the total energy of the system. In the case of continuous contact between the pipe and borehole, the total energy is∫∫∫∫−−−+⎥⎥⎦⎤⎢⎢⎣⎡⎟⎠⎞⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛=ΠL c Fb L x c L c dx qr W dx Nd f r dx dx d dx d r EI 00)(02042222)1(cos )(sign 2θϑθθθθ, (3) where ∫∫∫−=L b x u b L L u Fb x s u s N s f L u F W b b 0)(01)(0)d (d )()()(d , ds ds d r x u x c b ∫⎥⎥⎦⎤⎢⎢⎣⎡⎟⎠⎞⎜⎝⎛=02221)(θ, and ⎩⎨⎧<−>=0for ;10for ;1)(sign θθθ. According to the principle of virtual work, the net work done by all external forces with respect to any small admissible virtual displacement of the pipe must be transformed into elastic defromation energy when the buckled pipe takes its new equilibrium configuration, i.e., 0=Πδ holds for any small admissible virtual displacement. Consequently, the buckling equations of a pipe constrained in a horizontal well are derived considering the effects of lateral friction as seen in Appendix A. The normal contact force isc c c EIr q dxd EIr F dx d dx d dx d dx d EIr N θθθθθθcos 432433222+⎟⎠⎞⎜⎝⎛+⎟⎠⎞⎜⎝⎛−+⎟⎟⎠⎞⎜⎜⎝⎛=. (4) The axial force satisfiesN f dxdF1=. (5) The buckling equation of a pipe in a horizontal well is0sin )(sign 6222244=++⎟⎠⎞⎜⎝⎛+⎟⎠⎞⎜⎝⎛−cc EIr q EIr N f dxd EI F dx d dx d dx d dx d θθθθθθ. (6) The three unknowns, axial force )(x F , angular displacement )(x θ, and normal contact force )(x N , can be solved usingEqns 4-6 and the proper boundary conditions. When friction is ignored (0=f ), Eqns. 4 and 6 become exactly the same as Eqns. 1 and 2 in a horizontal well derived by R.F. Mitchell (1988).Since for virtual displacements the forces remain constant, Eqn 3 takes form:4 IADC/SPE 111511∫∫∫∫∫−−⎟⎠⎞⎜⎝⎛−+⎥⎥⎦⎤⎢⎢⎣⎡⎟⎠⎞⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛=ΠL c L c L x c L c dx qr dx dx d x F r dx Nd f r dx dx d dx d r EI 00220)(02042222)1(cos )(21)(sign 2θθϑθθθθ. (7) By letting 25.0⎟⎟⎠⎞⎜⎜⎝⎛=c EIrqμ(1/m), and introducing the dimensionless distance,x μς=, dimensionless normal contactforce qN n =, dimensionless axial load EIq r Fc 2=β, and dimensionless total energy Lqr c Π=Ω2, Eqns. 4 through 7 can be normalized asθςθβςθςθςθςθcos 2432433222+⎟⎟⎠⎞⎜⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛−+⎟⎟⎠⎞⎜⎜⎝⎛=d d d d d d d d d d n , (8) n f r d d c 121μςβ=, (9) 0sin )(sign 26222244=++⎟⎟⎠⎞⎜⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛−θθςθβςςθςθςθn f d d d d d d d d d d , (10) ςϑϑθθςςςθβςθςθςθςςd d n f d d d d d d d L LL L⎥⎥⎦⎤⎢⎢⎣⎡+−+⎥⎥⎦⎤⎢⎢⎣⎡⎟⎟⎠⎞⎜⎜⎝⎛−⎟⎟⎠⎞⎜⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛=Ω∫∫∫020242220)()(sign cos 1221. (11)Effects of Boundary Conditions on Sinusoidal BucklingWe first ignore the effects of friction, i.e., assuming 0=f , so Eqn. 10 becomes:0sin 262222244=++⎟⎟⎠⎞⎜⎜⎝⎛−θςθβςθςθςθd d d d d d d d . (12) For a very small value of θ, Eqn. 12 can be linearized as022244=++θςθβςθd d d d . (13)The general solution of Eqn. 13 is)cos()sin()cos()sin()(24231211ςςςςςθp A p A p A p A +++=, (14) where 121−+=ββp ,122−−=ββp ,121=p p , and)(212221p p +=β. (15)The critical sinusoidal buckling load under different boundary conditions can be determined from the general solution given in Eqn. 14. For example, the boundary conditions for a pipe with two pin ends are:0022==ςςθd d , 0)0(=θ,022==Ld d ςςςθ, 0)(=L ςθ,where L L μς=is the dimensionless length of the pipe. Applying these boundary conditions into Eqn. 14yields 02=A ,04=A ,0)sin( )sin(2311=+L L p A p A ςς, and 0)sin( )sin(22231211=+L L p p A p p A ςς. The necessary conditionfor Eqn. 14 to have a non-trivial solution is for0sin sin sin sin 22212121=LL LL p p p p ςp p ςςς, which yields 0 )sin(1=L p ς or 0)sin(2=L p ς,i.e.,L k p ςπ=1,πςk p L =2, (k =1, 2,…). Substituting Lk p ςπ=1,πςk p L =2 into Eqn. 15 gives the critical load for sinusoidal buckling⎥⎥⎦⎤⎢⎢⎣⎡⎟⎠⎞⎜⎝⎛+⎟⎟⎠⎞⎜⎜⎝⎛=2221πςςπβk k L L crs , ⎥⎥⎦⎤⎢⎢⎣⎡⎟⎠⎞⎜⎝⎛+⎟⎠⎞⎜⎝⎛=42221ππL EIr q k k L EI F c crs . (16) Eqn. 16 is exactly the same formula as that derived by Paslay et al (1964) with the energy method. The integer k represents the number of half-sinusoidal waves of a buckled pipe and is chosen as such that minimizes crs β in Eqn. 16.IADC/SPE 111511 5In a similar manner, the critical sinusoidal buckling conditions for a pipe with a pinned end and a fixed end, or a pipe with two fixed ends can be obtained.The boundary conditions for a fixed end and a pinned end are 0022==ςςθd d , 0)0(=θ,0==Ld d ςςςθ, and 0)(=L ςθ.Similarly, we then have 02=A ,04=A , andcos cos sin sin 221121=L L L L p p p p ςp p ςςς.The boundary conditions for two fixed ends are00==ςςθd d , 0)0(=θ,0==Ld d ςςςθ, and 0)(=L ςθ. The necessarycondition for Eqn. 14 to have a non-trivial solution is0sin cos sin cos cos sin cos sin 0 0 1 0 1 0 22221111221121=−−LL L L L L L L p p p p p p p p ςp ςp p p p p ςςςςςς. (17)Fig. 2 shows the results of dimensionless critical loads (crs β) under different boundary conditions. The abscissa in Fig. 2 represents the dimensionless length,L ς, divided by a factor of π. The critical loads,crs β, approach 1 as L ς approaches infinity. Based on the results shown in Fig. 2, we can approximately apply 1=crs β as the critical sinusoidal buckling condition, i.e., the effects of boundary conditions at both ends of the pipe can be neglected for a long pipe such that πς5>L . For a short pipe,we can see from Fig. 2 that crs β approaches infinity as L ς approaches zero. However, the limit of 2⎟⎠⎞⎜⎝⎛=πςβL crs crs Bor crs crs B B L 00,lim →=ς, exists as L ς approaches zero as seen in Fig. 3. For example, in the case of a pipe with two pin ends, let1=k in Eqn.17, and we then have 21lim 00,==→crs crs B B L ς. The critical load approaches20,22222⎟⎠⎞⎜⎝⎛→⎟⎠⎞⎜⎝⎛==L EIB L EI B EI F crs crs crs crs ππμβ. (18)Fig. 2 Critical load vs.πςL . Fig. 3 2⎟⎠⎞⎜⎝⎛=πςβL crs crs B vs.πςL.Eqn. 18 is the Euler’s type formula for critical load with different end conditions. For a pipe pinned at both ends, 5.00,=crs B . Similarly, we obtained the limit of crs B for a pipe fixed at both ends (20,=crs B ), and a pipe with one end fixed and the other end pinned (10,=crs B ). As shown in Fig. 3, when the dimensionless length of a pipe is less than π5.0, Euler’s critical formula gives a good approximation. In the following sections, we will focus on the buckling analysis of a long pipe with a dimensionless length that exceeds π5.Effects of Friction on Sinusoidal BucklingFor sinusoidal buckling of a long pipe, we can assume that the configuration of the pipe takes the form of6 IADC/SPE 111511ςςθp a sin )(=. (19)Using Eqn. 19 in Eqn. 11 gives the the dimensionless total energy of a sinusoidally buckled pipe in a horizontal well (seeAppendix B)())(922941611214312142242222222224a o a a p a p a f a a a p a a p s +−+++⎟⎠⎞⎜⎝⎛−+−⎟⎠⎞⎜⎝⎛+=Ωβπβ. (20)According to the principle of virtual work, the variation of total energy equals zero for any possible variation of a δ when the pipe is under its new equilibrium configuration. The value of a with respect to a given axial load β is such that 0=Ωs δholds for all possible variations of a δ, i.e.,0=∂Ω∂as . In the case of 02=f (no friction), we havea a p a p a s ⎥⎦⎤⎢⎣⎡⎟⎠⎞⎜⎝⎛−+−⎟⎠⎞⎜⎝⎛+=∂Ω∂22248112231β. (21) Obviously, 00=a is a solution of 0=∂Ω∂a s . The second derivative of s Ω is⎥⎦⎤⎢⎣⎡⎟⎠⎞⎜⎝⎛−+−⎟⎠⎞⎜⎝⎛+=∂Ω∂2224228312291a p a p a β, 122402+−=⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=p p a a β. (22) The solution of 0022=⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=a a is⎟⎟⎠⎞⎜⎜⎝⎛+=22*121)(p p p β. (23) When )(*p ββ<, 0022>⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=a s a , 0=a is the only minimizer of s Ωand is the only solution for 0=∂Ω∂as. As a result, the original straight line shape is a stable configuration, and the pipe will keep its original straight line shape when )(*p ββ<.On the other hand, when )(*p ββ>, 002<⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=a s a , 0=a becomes a maximizer of s Ω. However, Eqn. 21 has two othersolutions, 112)12(84422,1−−−±=p p p pa βand )12(2422222,1−−=⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=p p p a a a β. When )(*p ββ>, 02,12>⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=a a s a , 1a a = and 12a a a −== are two minimizers of s Ω. Thus, when )(*p ββ>, the original straight line configuration (0=a ) becomesunstable. Although it is still an equilibrium configuration (because 00=⎟⎟⎠⎞⎜⎜⎝⎛∂Ω∂=a s a still holds), any small disturbance will make the pipe turn from a straight line into a sinusoidal shape.The critical conditions for sinusoidal buckling can be determined by both 0=∂Ω∂as and 022=∂Ω∂as . Let an integer k denotethe number of half-sinusoidal waves of a buckled pipe with limited length L ς. Then, k and the parameter p satisfy therelationship of Lk p ςπ=, and Eqn. 23 becomes exactly the same equation as Eqn. 16, which gives the critical load of sinusoidalbuckling for a pipe with two pin ends. It is noticed that the assumed sinusoidal configuration of Eqn. 19 satisfies the boundaryconditions of a pipe with two pin ends, i.e., 0=θ and 022=ςθd d hold at both ends of the pipe (0=ς and p k L πςς==). Obviously, we should select such an integer for k or such a value for p that minimizes )(*p β. For a long pipe, we have12=crs p and the critical condition for sinuaoidal buckling is 1=crs β.In summary, the above discussion clearly shows that the critical condition of sinusoidal buckling can be determined by0=∂Ω∂a sand 022=∂Ω∂as with crs p p = minimizing the critical load. For example, given 02=f and 1=crs p ,s Ω is now a function of a and β. Fig. 4 illustrates the plots of s Ωvs a with different values of β. The dimensionless total energy s Ωhas only oneminimizer which is at 0=a for 1=≤crs ββ. However, when crs ββ>, there are three stationary points, a maximizer at 0=a , and two minimizers which are located at 11142,1−±=βa . Fig. 5 shows the plots of s Ω for 3.02=f . Similarly, for a given frictionIADC/SPE 111511 7coefficient 2f , there is a critical value of )(2f crs β beyond which the plot of s Ω has more than one minimizer. When )(2f crs ββ≤, s Ω has only one minimizer (0=a ), which means that the principle of virtual work holds only at 0=a and that the original straight line shape of the pipe is stable. When )(2f crs ββ>, the plot of s Ω has two more minimizers, which implies that in addition to 0=a , there are other possible solutions of a that also satisfy the principle of virtual work, i.e., the pipe has different equilibrium configurations other than the straight line shape.Fig. 4 Plot of s Ω for 02=f . Fig. 5 Plot of s Ω for 3.02=f .The critical conditions, which occur when there is more than one minimizer of s Ω and sinusoidal buckling is initiated, aredetermined by 0=∂Ω∂a sand 022=∂Ω∂a s . A value of crs p that minimizes crs βis selected. The non-linear equations can then be solved numerically. As shown by the pink colored curve in Fig. 5, at the critical values of crs β, crs a and 2crsp , the total energy, 0>Ωcrs , is a small positive value but not zero for 02>f . crs Ω is the extra energy required to disturb the pipe when sinusoidal buckling is initiated. If an extra lateral disturbing energy of crs Ω, such as a lateral impaction or vibration, is applied to a pipe, the pipe will restore its original straight line shape when crs ββ<, but the pipe will turn into a sinusoidal wave-like shape when crs ββ≥. The critical values, crs β, crs a , and 2crs p depend on the lateral friction coefficient 2f . Figs. 6 through 8 show how crs β,crs a , and 2crsp change as the friction coefficient increases.Fig. 6 Plot of )(2f a crs vs. 2f . Fig. 7 Plot of )(2f p crs vs. 2f .The open circles in Figs. 6, 7, and 8 represent the results of the numerical solution. A perturbation slolution is also derived as seen in Appendix C. In terms of 2f , the results of the purterbation solution can be expressed as322)(193.01f p crs +=, 2312371.0)(774.0f f a crs −=. (25)⎟⎟⎠⎞⎜⎜⎝⎛+++⎟⎠⎞⎜⎝⎛−=crs crs crs crs crs crs a f a p a p πβ2222288112123121. (26)8 IADC/SPE 111511The solid curves in Figs. 6 through 8 show the results of the perturbation solution. The results predicted with thepurterbation solution agree well with those of the numerical solution.Fig. 8 Plot of )(2f crs β vs. 2f .Here, we consider an example of 3 ½” pipe in a 6 ¾” horizontal borehole. The critcal buckling load is ccrscrs r EIqF β2=. In this example, )m (041272.0)in ( 625.1==c r , )N/m (101.2211×=E , )m (1081.1)in (35.4464−×==I , )N/m (0.206=q , and)KN (56.43=cr EIq. In the case of no friction (02=f ), Eqns 25 and 26 yield 1=crs p , 0=crs a , and 1=crs β, thus )KN (11.87=crs F . When the friction coefficient 3.02=f is applied, we have 0865.1)3.0(193.0132=×+=crs p ,4068.03.0371.0)3.0(774.031=×−×=crs a , 671.1=crs β, and )KN (6.145=crs F .Experimental Study Experimental FacilityThe buckling experimental facility shown in Fig 9 includes a transparent plastic tubing (used to act as a well bore), a pipe, a loading/rotating assembly, two load cells at both ends, and a displacement transducer. The main characteristics of the experimental facility are listed in Table. 1. The configuration of the tested pipe can be observed through the transparent tubing. The axial loads at both ends and the displacement at the loading end are measured with the load cells and displacement transducer simultaneously. The measured data is transferred to a PC and then recorded automatically for further analysis.Table 1 Main Characteristics of Experimental FacilityTotal length of the facility (m) 27.7 Length of the tested pipe (m) 26.2 Transparent tubing ID (cm)5.08 Pipe OD (cm) 1.27 Pipe ID (cm) 1.092 Pipe weight (N/m)2.539 Young’s Modulus of the pipe (MPa) 200 Maximum axial displacement (cm)15.24 Load cell capacity (N)4448.2Experimental Observations and MeasurementsExperimental observations show that a pipe subjected to axial compressive load in a horizontal well experiences three different configurations: stable shape—original straight line, sinusoidal wave-like shape, and helical shape.When the axial load is small, the pipe keeps its original straight configuration and lies down straight on the lower side of the well. When the compressive load exceeds the first critical load, the critical load for sinusoidal buckling, the straight configuration of the pipe becomes unstable and then sinusoidal buckling occurs. In this case, the pipe takes the configuration of a 3D snake, or a shape similar to a sinusoidal wave whose amplitude depends on the dimensionless load β. When the axial load exceeds the second critical load, the critical load of helical buckling, the pipe buckles into a helical shape.To measure the friction coefficient, we first move the pipe along the wellbore very slowly. During this process, the measured load at the loading end (or top end) is almost a constant. This load is the total sliding friction force along the wholeIADC/SPE 111511 9pipe, which is about 4.5 (lbf) or 20.0 (N). As seen in Fig. 10, the curves with two different colors show the measured results for two different cycles of loading and unloading. Note that the top load gage reads 2 (lbf) when no axial load is applied during the unloading process. All the top load measurements were corrected by this shifting. The weight of the pipe is about 66.5 (N). The estimated sliding friction coefficient is about 0.30.Fig. 11 shows the measured dimensionless axial loads at both the top end (pink curve) and bottom end (blue curve) vs. the axial displacement measured at the top end. Note that the top end is the end where the axial force is loaded and unloaded, or where axial displacement is permissible. Furthermore, the bottom end is the constrained end, where axial displacement is not permissible. During the experimental process, the axial load increased very slowly. The measured top end load was greater than the measured bottom end load. The difference between the loads measured at both ends,Bottom Top βββ−=Δ, represents the dimensionless axial friction force. Fig. 12 shows the plot of βΔ vs. Top β. At the same time, Fig. 11 clearly shows that the measured dimensionless critical sinusoidal buckling load is about 1.61 (see the arrow A in Fig. 11). When the top load is less than the critical load (force), the top load is almost a linear function of the measured axial displacement, which indicates the elastic axial compression of the pipe and experimental system. However, when the top end load reaches the critical load, the axial displacement increases about 0.1 inches without increasing the axial load, which we interpret as the initiation of sinusoidal buckling.Fig. 9 Schematic of experimental facility. Fig. 10 Measured axial friction.Fig. 11 Measured axial loads at both ends. Fig. 12 Axial friction force vs. axial load at top end.Fig. 12 shows that the axial friction force is almost constant when the top load is less than the critical load. The small increase of friction force is due to the imperfection of the pipe (it is not a perfect straight line). Fig. 12 also clearly shows a sudden reduction of axial friction force when buckling is initiated as indicated by the downward peak denoted by the arrow A in Fig. 12. One explanation of this reduction of axial friction force is that the pipe slides laterally against the wellbore when buckling initiates and releases part of the axial friction force. When the dimensionless top load exceeds 1.61, the axial friction force increases dramatically. This is also a clear indication that the dimensionless critical load for sinusoidal buckling is 1.61. This holds true only for a buckled pipe where the normal contact force, and thus, the axial friction force, increases as the axial compressive load increases. When the dimensionless top end load reaches about 2.2 (see the arrow B), another sudden increase of axial displacement is observed at the top end when axial load is no longer increased, as seen in Fig. 11. Fig. 12 also shows that a sudden reduction of axial friction load takes place when the dimensionless top end load reaches 2.2 (at the arrow B). We take this value of 2.2 as the measured dimensionless critical load to initiate helical buckling. The analysis and discussion of post buckling behavior is beyond the scope of this paper.。