Moving Vortex Phases, Dynamical Symmetry Breaking, and Jamming for Vortices in Honeycomb Pi

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Tettex 2293 风线电阻计说明书

Tettex 2293 风线电阻计说明书

2293Winding resistance meter with one-time-connection systemThe Tettex 2293 is the result of extensive research and years of experience testing transformers. It incorporates a fast and highly advanced procedure to measure winding resistance. A simple one-time-connection system together with the simultaneous windingmagnetization method drastically reduces measuring time.The simultaneous winding magnetization (SWM) method guarantees fast and reliable measurements even on large power transformers with delta windings on the low voltage side, where stable measurements can be seldom reached using traditional winding resistance measurement instruments.In addition, the new demagnetization functioneliminates the magnetic remanence in the core after the application of a DC voltage. This feature can be used before performing other tests such as frequency response analysis (FRA), transformer turns ratiomeasurement (TTR) or recovery voltage measurement (RVM) which are adversely affected by remanence effects.The transformer is discharged by a state-of-the-artdischarge circuit in a fraction of the time taken by other instruments. The discharging function and the“Caution” indicator continue to operate even when linepower is lost.FEATURES AND BENEFITSResistance measurement made easy – simple one-time-connection system: Once connected will test all phases and windingsLarge 7” touch screen interface with full graphical testvisualizationUnique simultaneous winding magnetization method(SWM), equivalent to traditional equipment with up to 100 A test currentTap changer control signalHeat run function and 6 temperature measurementchannels with automatic resistance value correctionData transfer over USB memory-stick or direct to PCAPPLICATIONSResistance measurement and demagnetization function for all types of highly inductive test objects.Power transformers Distribution transformers Generators and motors Instrument transformersThe 2293 is a valuable tool for factory test, acceptance test and regular maintenance.A test solution optimized for easy and fastwinding resistance measurement on power and distribution transformers as well as motors and generators.1981COMPLETE AUTOMATIC TEST PROCEDUREThe 2293 performs resistance measurements on all windings without any reconnection. The test procedure is simple and efficient. One end of the measurement cable set is connected to each bushing of the transformer using the special Kelvin clamp, while the other end is connected to the 2293.Once the cable set is connected to the test object, the instrument will automatically measure selected resistances of both windings and all phases. In addition, the motorized tap changer can be controlled to perform fully automated measurements on all taps. A complete transformer can be tested by a single person in a fraction of the time compared to traditional instruments.GRAPHICAL INTERFACEThe 7” touch screen full graphical interface guides the operator through the test procedure.Select the test object by touching the appropriate icon and press start – The unit then visualizes each test cycle and displays the results graphically or in list format. DEMAGNETIZATION FUNCTIONApplying a DC current to an inductive test object, like a power transformer, magnetizes the core. The resulting magnetic remanence will have an adverse effect on other measurements.The 2293 includes a fully automatic demagnetization feature which eliminates the magnetic remanence. Select the test object by touching the appropriate icon and press start – The unit visualizes the whole demagnetization cycleand performs the correct core demagnetization.HEAT RUN TESTThe 2293, which can measure HV and LV side resistancessimultaneously and accurately, is the perfect tool forresistance measurements during a heat run test.The instrument provides efficient and accurate acquisitionof the required data points to allow drawingthe necessary cooling curve.Results are available as CSV and can be easily exported.DATA HANDLING AND TEST REPORTSThe 2293 allows easy data handling. Results can be savedon a USB memory stick or transferred to any computer. Inaddition the instrument can be connected via Ethernet to aLAN. It also includes a thermal printer for immediate reportprinting.SelectStartResults can also be saved in the instrument’s memorywhile continuing testing, to be downloaded later afterhaving returned to the office.ResultsTECHNICAL SPECIFICATIONSResistance MeasurementMax. Measuring Current 32 A (user selectable) Max. Charging Voltage 100 VRange 0.1 μΩ … 300 k ΩResistance Accuracy(1) 0.1 μΩ ... 300 μΩ 0.1% ± 0.5 μΩ300.1 μΩ … 30 k Ω 0.1% 30.01 k Ω … 300 k Ω 1% Mains Power Supply Voltage90 VAC … 264 VAC Maximum Power 1 kWFrequency 47 Hz … 63 HzEnvironmentalOperating temperature -10°C … +60°C Storage temperature -20°C ... +70°CHumidity 5% … 90% r.h. non-condensing MechanicalDimensions (W x D x H) 521 mm x 425 mm x 216 mmWeight (2)17.8 kg (2) Measuring cables not included (1) at temperature 0 … 50°C at highest available current Functions- 8 measuring channels (2 x 3 phases and 2 x 1 neutral)- 6 temperature channels with automatic resistance correction - Advanced 7” graphical touch screen interface- High efficient DC supply with SWM (simultaneous winding magnetization)- SWM mode and Classic mode (for traditional resistance measurement method) - Turbo discharge circuit- Automated demagnetizing function with flux indicator - Automatic heat run function- Tap changer control signal to automate test procedures on transformers with motorized tap changer - Internal memory >10'000 measurements- USB and LAN connections. Data can be saved on a memory stick or directly transferred to PC - Charges any inductive load and works with any resistive or inductive test object - Heavy duty protection circuit- Safety circuit ensures discharge even when line power is lost - Caution indicator - Built-in printerSCOPE OF SUPPLYMeasuring unit, cable set (10 m), carrying bag, test certificate, user manualOptions2293/TEMP1 Temperature probe for liquids2293/TEMP2 Magnetic temperature probe for metallic test objects 2293/TAP Tap changer connection cable2293/10 10 m extension cablesTettex Instruments offers a complete portfolio for transformer testingTTR 2795 / TTR 2796Transformer Turns Ratio Meterwith 100/250 V test voltageDetection of winding movements and mechanical failures of transformers. Active probing assures reliable and repetitive measurement results. Advanced analysis and touch screen operation.FRA 5310Frequency Response AnalyserOnsite testing of turns and voltage ratio, phase displacement and excitation current. Automatic winding connection identification and vector group detection. Remotely controllable via USB.RVM 5462Recovery Voltage MeterMobile system for non-destructive diagnosis of the state of paper-oil insulation (effect of moisture content and aging) using the recovery voltagemethod.MIDAS 2880Mobile Insulation Diagnosis & Analysing SystemThe ideal tool for periodic maintenance and inspection of high voltage insulation losses, dissipation factor (tan δ), power factor and capacitance of power transformers, bushings, motors, generators etc.OC60EOil Cell TesterFully automated digital liquid electrical test set designed to reliably and accurately test the dielectric strength of insulation liquids.Europe, Asia, South & Central America, Australia Haefely Test AGLehenmattstrasse 353 4052 Basel Switzerland+ 41 61 373 4111 + 41 61 373 4912 |**************** ChinaHaefely Test AG – Beijing Office8-1-602, Fortune StreetNo. 67, Chaoyang Road, Chaoyang DistrictBeijing, 100025 P. R. China+ 86 10 8578 8099 + 86 10 8578 9908 |*****************.cnNorth America Hipotronics Inc. 1650 Route 22 PO Box 414Brewster, NY 10509USA+ 1 845 279 3644 + 1 845 279 2467|*********************。

强震作用下导管架基础结构特性分析

强震作用下导管架基础结构特性分析

山 西建筑SHANXI ARCHITECTURE第47卷第2期・56・4 0 0 1年6月Vol. 07 No. 2Jus. 2001DOI :2. 13719/j. oki. 209-6525.2022 2.022强震作用下导管架基础结构特性分析沈骏1上海市水利工程设计研究院有限公司,上海200061)摘要:海上风电导管架基础结构作为应用广泛的固定式海上风机基础之一,具有能适应较大水深、稳定性好的优点。

采用时程 分析法输入Northridge 地震波,研究导管架基础结构的动力响应,结果表明塔筒顶端位移最大,位移随时间变化呈先增加后来减弱直至平稳的规律,与地震波加速度峰值相比,结构响应峰值存在一定的滞后,结构动力响应加速度不仅仅只与地震动峰值加速 度有关,还与地震波波频谱特性有着很大的关系。

越靠近桩底,结构等效应力越大,桩底处出现最大等效应力137 MPe 。

关键词:导管架基础,强震荷载,动力分析,ANSYS 中图分类号:TU312 3 文献标识码:A文章编号:209-3525 (2021) 2P056-040引言导管架作为一种钢结构,能较好地发挥其自重轻、塑性 变形能力强和延性好的优点。

由于钢材的延展性,导管架 基础结构曾被认为能够抵抗强烈的地震荷载。

然而, 294年1月1 2日美国加州San Fersanko Valley 北岭地震 中,陆域及附近海域大约有200多幢钢框架结构出现破坏, 1295年1月2日日本兵库县南部地区阪神地震中出现不 同程度破坏的钢结构建筑也高达985幢。

本研究针对海上 风电导管架基础,运用大型通用有限元软件ANSYS ,对受 到地震作用的导管架基础进行强度校核,得到基础的转角、 位移、强度,判断结构的安全性和稳定性。

1工程概况本文以渤海某海上风电导管架平台为例,上部结构采用NREL5 MW 风力发电机,风机高度为66 m,下部为四桩 型导管架基础结构,桩基础为直桩,导管架基础结构全部采 用的DH36钢圆管,整个工程处于水深为5。

早期高血压弦脉脉象特点及其瞬时波强技术参数特征分析

早期高血压弦脉脉象特点及其瞬时波强技术参数特征分析

早期高血压弦脉脉象特点及其瞬时波强技术参数特征分析任亚娟1,肖沪生1,徐 芳1,刘 萍2,王艳春1,马菲菲11.上海中医药大学附属龙华医院超声科,上海 200032;2.上海中医药大学附属龙华医院心内科,上海 200032[摘要] 目的:应用瞬时波强(WI )技术探测早期高血压弦脉患者颈总动脉各参数,分析早期高血压弦脉的脉象特点;提取弦脉脉象判别的特征参数,探讨早期高血压弦脉患者颈总动脉WI 参数的特点,以期为弦脉的精准分型及信息解读提供客观依据。

方法:选择52例早期原发性高血压弦脉、50例生理性弦脉、50例平脉受试者,分析其颈总动脉的WI 参数,总结早期高血压弦脉的脉象特点,并运用SIMCA 14.1统计软件提取脉象分型的主参数。

结果:早期高血压弦脉组与平脉组及生理性弦脉组比较,瞬时加速度波强(W 1)、负向波面积(NA )值增高,W 1-W 2间期降低(均P <0.01);而平脉组与生理性弦脉组W 1、NA 、W 1-W 2间期比较,差异均无统计学意义(均P >0.05)。

平脉组、生理性弦脉组、早期高血压弦脉组的血管压力应变弹性模量(EP )、脉搏波传导速度(PWV )、血管硬化参数(β)数值均逐渐增高(均P <0.01)。

平脉组血管顺应性(AC )高于其他2组(均P <0.01),生理性弦脉组AC 高于早期高血压弦脉组(P <0.05)。

3组R -W 1间期比较差异无统计学意义(P >0.05)。

基于主成分分析(PCA )和正交偏最小二乘法判别分析(OPLS -DA ),生理性弦脉组与平脉组样本区分明显,表明2组WI 各参数比较差异均有统计学意义(均P <0.05),特征性的WI 参数[投影重要性(V IP 值)>1]为EP 、PWV 、β、AC ,其中贡献率为EP >PWV >β>AC 。

基于PCA 和OPLS -DA ,生理性弦脉组与早期高血压弦脉组样本区分明显,表明2组WI 各参数差异均有统计学意义(均P <0.05),特征性的WI 参数(V IP 值>1)为EP 、PWV 、NA 、W 1、β,其中贡献率为EP >PWV >NA >W 1>β。

高速平板边界层中定常条带的前缘感受性

高速平板边界层中定常条带的前缘感受性

高速平板边界层中定常条带的前缘感受性
刘洋;赵磊
【期刊名称】《空气动力学学报》
【年(卷),期】2024(42)4
【摘要】来流湍流度较高时,自由流涡波可在边界层内激发流向条带结构,并引起边界层的旁路(bypass)转捩。

本文采用调和线性化Navier-Stokes方程(harmonic linearized Navier-Stokes,HLNS)方法模拟平板边界层条带对自由流涡波的前缘感受性,并通过直接数值模拟验证了HLNS方法的可靠性。

针对马赫数4.8的高速平
板边界层,分析了零频涡波激发定常条带的前缘感受性过程及定常条带的演化规律。

研究结果表明,边界层外的自由流涡扰动对边界层条带的发展存在持续的激励作用;
对于固定展向波数的自由流涡波,法向波数为0时激发的条带幅值最大;自由流涡波的法向波数在小于临界角度时仅影响条带的幅值,而不影响条带扰动的形函数剖面。

随着当地雷诺数的增加,条带的幅值演化和形函数剖面呈现出很好的相似性;当地无
量纲展向波数β=0.18时,归一化幅值最大。

【总页数】14页(P14-26)
【作者】刘洋;赵磊
【作者单位】天津大学力学系;天津市现代工程力学重点实验室
【正文语种】中文
【中图分类】V211;V411;O357.4
【相关文献】
1.PIV测量非定常自由来流中的三角翼前缘涡
2.前缘曲率变化对平板边界层感受性问题的影响
3.无限薄平板边界层前缘感受性过程的数值研究∗
4.前缘曲率对三维边界层内被激发出非定常横流模态的影响研究
5.高超声速平板边界层/圆柱粗糙元非定常干扰
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著名数学家弗里曼·戴森的演讲译文:鸟和青蛙

著名数学家弗里曼·戴森的演讲译文:鸟和青蛙
Birds and Frogs
Freeman Dyson
ome mathematicians are birds, others are frogs. Birds fly high in the air and survey broad vistas of mathematics out to the far horizon. They delight in concepts that unify our thinking and bring together diverse problems from different parts of the landscape. Frogs live in the mud below and see only the flowers that grow nearby. They delight in the details of particular objects, and they solve problems one at a time. I happen to be a frog, but many of my best friends are birds. The main theme of my talk tonight is this. Mathematics needs both birds and frogs. Mathematics is rich and beautiful because birds give it broad visions and frogs give it intricate details. Mathematics is both great art and important science, because it combines generality of concepts with depth of structures. It is stupid to claim that birds are better than frogs because they see farther, or that frogs are better than birds because they see deeper. The world of mathematics is both broad and deep, and we need birds and frogs working together to explore it. This talk is called the Einstein lecture, and I am grateful to the American Mathematical Society for inviting me to do honor to Albert Einstein. Einstein was not a mathematician, but a physicist who had mixed feelings about mathematics. On the one hand, he had enormous respect for the power of mathematics to describe the workings of nature, and he had an instinct for mathematical beauty which led him onto the right track to find nature’s laws. On the other hand, he had no interest in pure mathematics, and he had no technical

Modeling hurricane waves and storm surge using integrally-coupled,

Modeling hurricane waves and storm surge using integrally-coupled,

Modeling hurricane waves and storm surge using integrally-coupled,scalable computationsJ.C.Dietrich a ,⁎,M.Zijlema b ,J.J.Westerink a ,L.H.Holthuijsen b ,C.Dawson c ,R.A.Luettich Jr.d ,R.E.Jensen e ,J.M.Smith e ,G.S.Stelling b ,G.W.Stone faDepartment of Civil Engineering and Geological Sciences,University of Notre Dame,156Fitzpatrick Hall,Notre Dame,IN 46556,United States bFaculty of Civil Engineering and Geosciences,Delft University of Technology,Stevinweg 1,2628CN,Delft,The Netherlands cInstitute for Computational Engineering and Sciences,University of Texas at Austin,201East 24Street,Austin,TX 78712,United States dInstitute of Marine Sciences,University of North Carolina at Chapel Hill,3431Arendell Street,Morehead City,NC 28557,United States eCoastal and Hydraulics Laboratory,U.S.Army Engineer Research and Development Center,3909Halls Ferry Road,Vicksburg,MS 39180,United States fCoastal Studies Institute,Louisiana State University,Old Geology Building,Room 331,Baton Rouge,LA 70803,United Statesa b s t r a c ta r t i c l e i n f o Article history:Received 26March 2010Received in revised form 9July 2010Accepted 9August 2010Keywords:ADCIRC SWANHurricanes WavesStorm surgeThe unstructured-mesh SWAN spectral wave model and the ADCIRC shallow-water circulation model have been integrated into a tightly-coupled SWAN +ADCIRC model.The model components are applied to an identical,unstructured mesh;share parallel computing infrastructure;and run sequentially in time.Wind speeds,water levels,currents and radiation stress gradients are vertex-based,and therefore can be passed through memory or cache to each model component.Parallel simulations based on domain decomposition utilize identical sub-meshes,and the communication is highly localized.Inter-model communication is intra-core,while intra-model communication is inter-core but is local and ef ficient because it is solely on adjacent sub-mesh edges.The resulting integrated SWAN +ADCIRC system is highly scalable and allows for localized increases in resolution without the complexity or cost of nested meshes or global interpolation between heterogeneous meshes.Hurricane waves and storm surge are validated for Hurricanes Katrina and Rita,demonstrating the importance of inclusion of the wave-circulation interactions,and ef ficient performance is demonstrated to 3062computational cores.©2010Elsevier B.V.All rights reserved.1.IntroductionA broad energy spectrum exists in oceans,with wave periods ranging from seconds to months.Short waves,such as wind-driven waves and swell,have periods that range from 0.5to 25s.Longer waves,such as seiches,tsunamis,storm surges and tides,have periods that range from minutes to months.These short and long waves are well-separated in the energy spectrum and have well-de fined spatial scales.This separation leads to distinct modeling approaches,depending on whether the associated scales can be resolved.For oceanic scales,short-wave models cannot resolve spatially or temporally the individual wind-driven waves or swell,and thus they treat the wave field as an energy spectrum and apply the conservation of wave action density to account for wave –current interactions.Long-wave models apply forms of conservation of massand momentum,in two or three spatial dimensions,to resolve the circulation associated with processes such as tsunamis,storm surges or tides.Although wind-driven waves and circulation are separated in the spectrum,they can interact.Water levels and currents affect the propagation of waves and the location of wave-breaking zones.Wave transformation generates radiation stress gradients that drive set-up and currents.Wind-driven waves affect the vertical momentum mixing and bottom friction,which in turn affect the circulation.Water levels can be increased by 5–20%in regions across a broad continental shelf,and by as much as 35%in regions of steep slope (Funakoshi et al.,2008;Dietrich et al.,2010).Thus,in many coastal applications,waves and circulation processes should be coupled.Wave and circulation models have been limited by their spectral,spatial and temporal resolution.This limitation can be overcome by nesting structured meshes,to enhance resolution in speci fic regions by employing meshes with progressively finer scales.In a wave application,nesting also allows the use of models with different physics and numerics.Relatively fine nearshore wave models,such as STWAVE and SWAN,can be nested inside relatively coarse deep-water wave models,such as WAM and WaveWatch III (WAMDI Group,1988;Komen et al.,1994;Booij et al.,1999;Smith et al.,2001;Coastal Engineering 58(2011)45–65⁎Corresponding author.Tel.:+15746313864.E-mail addresses:dietrich.15@ (J.C.Dietrich),m.zijlema@tudelft.nl(M.Zijlema),jjw@ (J.J.Westerink),l.h.holthuijsen@tudelft.nl (L.H.Holthuijsen),clint@ (C.Dawson),rick_luettich@ (R.A.Luettich),robert.e.jensen@ (R.E.Jensen),jane.m.smith@ (J.M.Smith),g.s.stelling@tudelft.nl (G.S.Stelling),gagreg@ (G.W.Stone).0378-3839/$–see front matter ©2010Elsevier B.V.All rights reserved.doi:10.1016/j.coastaleng.2010.08.001Contents lists available at ScienceDirectCoastal Engineeringj o u r n a l h o m e p a g e :w ww.e l s ev i e r.c o m /l o c a t e /c o a s ta l e n gThompson et al.,2004;Gunther,2005;Tolman,2009).The nearshore wave models may not be ef ficient if applied to large domains,and the deep-water wave models may not contain the necessary physics or resolution for nearshore wave simulation.Until recently,wave models required nesting in order to vary resolution from basin to shelf to nearshore applications.These structured wave models can be coupled to structured circulation models that run on the same nested meshes (Kim et al.,2008).Unstructured circulation models have emerged to provide localized resolution of gradients in geometry,bathymetry/topogra-phy,and flow processes.Resolution varies over a range of scales within the same mesh from deep water to the continental shelf to the channels,marshes and floodplains near shore (Westerink et al.,2008).Unstructured meshes allow for localized resolution where solution gradients are large and correspondingly coarser resolution where solution gradients are small,thus minimizing the computa-tional cost relative to structured meshes with similar minimum mesh spacings.The coupling of wave and circulation models has been imple-mented typically with heterogeneous meshes.A coupling application may have one unstructured circulation mesh and several structured wave meshes,and the models may pass information via external files (Funakoshi et al.,2008;Dietrich et al.,2010;Weaver and Slinn,2004;Ebersole et al.,2007;Chen et al.,2008;Pandoe and Edge,2008;Bunya et al.,2010).This ‘loose ’coupling is disadvantageous because it requires intra-model interpolation at the boundaries of the nested,structured wave meshes and inter-model interpolation between the wave and circulation meshes.This interpolation creates problems with respect to both accuracy and ef ficiency.Overlapping nested or adjacent wave meshes often have different solutions,and inter-mesh interpolation can smooth or enhance the integrated wave forcing.Furthermore,even if a component model is locally conservative,its interpolated solution will not necessarily be conservative.Finally,inter-model interpolation must be performed at all vertices of the meshes.This interpolation is problematic in a parallel computing environment,where the communication between sub-meshes is inter-model and semi-global.The sub-meshes must communicate on an area basis (i.e.,the information at all vertices on a sub-mesh mustbe shared).Global communication is costly and can prevent models from being scalable in high-performance computing environments.An emerging practice is to couple models through a generic framework,such as the Earth System Modeling Framework (ESMF)(Hill et al.,2004;Collins et al.,2005),the Open Modeling Interface (OpenMI)Environment (Moore and Tindall,2005;Gregersen et al.,2005)or the Modeling Coupling Toolkit (MCT)(Warner et al.,2008).These frameworks manage when and how the individual models are run,interpolate information between models if necessary,and make transparent the coupling to developers and users.However,these frameworks do not eliminate the fundamental problems of coupling when using heterogeneous meshes.Boundary conditions must be interpolated between nested,structured wave meshes,and water levels,currents and wave properties must be interpolatedbetweenFig.1.Schematic of parallel communication between models and cores.Dashed lines indicate communication for all vertices within a sub-mesh,and are inter-model and intra-core.Solid lines indicate communication for the edge-layer-based nodes between sub-meshes,and are intra-model andinter-core.Fig.2.ADCIRC SL15model domain with bathymetry (m).46J.C.Dietrich et al./Coastal Engineering 58(2011)45–65the unstructured circulation and structured wave meshes.This interpolation is costly,destroys the scalability of the coupled model,and thus limits the resolution that can be employed and the corresponding physics that can be simulated.The recent introduction of unstructured wave models makes nesting unnecessary.Resolution can be enhanced nearshore and relaxed in deep water,allowing the model to simulate ef ficiently the wave evolution.SWAN has been used extensively to simulate waves in shallow water (Booij et al.,1999;Ris et al.,1999;Gorman and Neilson,1999;Rogers et al.,2003),and it has been converted recently to run on unstructured meshes (Zijlema et al.,2010).This version of SWAN employs the unstructured-mesh analog to the solution technique from the structured version.It retains the physics and numerics of SWAN,but it runs on unstructured meshes,and it is both accurate and ef ficient in the nearshore and in deep water.In this paper,we describe a ‘tight ’coupling of the SWAN wave model and the ADCIRC circulation model.SWAN and ADCIRC are run on the same unstructured mesh.This identical,homogeneous mesh allows the physics of wave-circulation interactions to be resolved correctly in both models.The unstructured mesh can be applied on a large domain to follow seamlessly all energy from deep to shallow water.There is no nesting or overlapping of structured wave meshes,and there is no inter-model interpolation.Variables and forces reside at identical,vertex-based rmation can be passed without interpolation,thus reducing signi ficantly the communication costs.In parallel computing applications,identical sub-meshes and communication infrastructure are used for both SWAN and ADCIRC,which run as the same program on the same computational core.All inter-model communication on a sub-mesh is done through local memory or munication between sub-meshes is rmation is passed only to the edges of neighboring sub-meshes,and thus the coupled model does not require global communication over areas.Domain decomposition places neighbor-ing sub-meshes on neighboring cores,so communication costs are minimized.The coupled model is highly scalable andintegratesFig.3.ADCIRC SL15bathymetry and topography (m),relative to NAVD88(2004.65),for southernLouisiana.Fig.4.ADCIRC SL15mesh resolution (m)in southern Louisiana.47J.C.Dietrich et al./Coastal Engineering 58(2011)45–65seamlessly the physics and numerics from ocean to shelf tofloodplain. Large domains and high levels of local resolution can be employed for both models,allowing the accurate depiction of the generation, propagation and dissipation of waves and surge.The resulting SWAN +ADCIRC model is suited ideally to simulate waves and circulation and their propagation from deep water to complicated nearshore systems.In the sections that follow,the component SWAN and ADCIRC models are described,and the mechanics of their tight coupling is introduced.The coupled model is then validated through its application to hindcasts of Hurricanes Katrina and Rita.Finally,a benchmarking study shows SWAN+ADCIRC is highly scalable.2.Methods2.1.SWAN modelSWAN predicts the evolution in geographical space⇀x and time t of the wave action density spectrum N(→x,t,σ,θ),withσthe relative frequency andθthe wave direction,as governed by the action balance equation(Booij et al.,1999):∂N+∇⇀x⋅⇀c g+⇀UNh i+∂cθN+∂cσN=S tot:ð1ÞThe terms on the left-hand side represent,respectively,the change of wave action in time,the propagation of wave action in⇀x-space (with∇⇀x the gradient operator in geographic space,⇀c g the wave group velocity and⇀U the ambient current vector),depth-and current-induced refraction and approximate diffraction(with propagation velocity or turning rate cθ),and the shifting ofσdue to variations in mean current and depth(with propagation velocity or shifting rate cσ).The source term,S tot,represents wave growth by wind;action lost due to whitecapping,surf breaking and bottom friction;and action exchanged between spectral components in deep and shallow water due to nonlinear effects.The associated SWAN parameterizations are given by Booij et al.(1999),with all subsequent modificationsas Fig.5.Example of the METIS domain decomposition of the ADCIRC SL15mesh on1014computational cores.Colors indicate local sub-meshes and shared boundary layers.Table1Geographic location by type and number shown in Figs.6and7.Rivers and channels1Calcasieu Shipping Channel 2Atchafalaya River3Mississippi River4Southwest PassBays,lakes and sounds5Sabine Lake6Calcasieu Lake7White Lake8Vermilion Bay9Terrebonne Bay10Timbalier Bay11Lake Pontchartrain12Lake Borgne13Gulf of MexicoIslands14Grand Isle15Chandeleur IslandsPlaces16Galveston,TX17Tiger and Trinity Shoals 18New Orleans,LA Fig.6.Schematic of the Gulf of Mexico with locations of the12NDBC buoy stations used for the deep-water validation of SWAN during both Katrina and Rita.The hurricane tracks are also shown.48J.C.Dietrich et al./Coastal Engineering58(2011)45–65present in version40.72,including the phase-decoupled refraction–diffraction(Holthuijsen et al.,2003),although diffraction is not enabled in the present simulations.The unstructured-mesh version of SWAN implements an analog to the four-direction Gauss–Seidel iteration technique employed in the structured version,and it maintains SWAN's unconditional stability (Zijlema,2010).SWAN computes the wave action density spectrum N (⇀x,t,σ,θ)at the vertices of an unstructured triangular mesh,and it orders the mesh vertices so it can sweep through them and update the action density using information from neighboring vertices.It then sweeps through the mesh in opposite directions until the wave energy has propagated sufficiently through geographical space in all direc-tions.It should be noted that,as a spectral model,SWAN does not attempt to represent physical processes at scales less than a wave length even in regions with veryfine-scale mesh resolution.Phase-resolving wave models should be employed at these scales if sub-wave length scaleflow features need to be resolved.However,this fine-scale mesh resolution may be necessary for other reasons,such as representing the complex bathymetry and topography of the region, or to improve the numerical properties of the computed solution.2.2.ADCIRC modelADCIRC is a continuous-Galerkin,finite-element,shallow-water model that solves for water levels and currents at a range of scales (Westerink et al.,2008;Luettich and Westerink,2004;Atkinson et al., 2004;Dawson et al.,2006).Water levels are obtained through solution of the Generalized Wave Continuity Equation(GWCE):∂2ζ∂t2+τ0∂ζ∂t+∂˜J x∂x+∂˜J y∂y−UH∂τ0∂x−VH∂τ0∂y=0;ð2Þwhere:˜J x =−Q x∂U∂x−Q y∂U∂y+fQ y−g∂ζ2∂x−gH∂∂xP s−αη+τsx;wind+τsx;waves−τbxρ0+M x−D xðÞ+U∂ζ∂t+τ0Q x−gH∂ζ∂x;ð3Þ˜J y =−Q x∂V−Q y∂V−fQ x−g∂ζ2−gH∂P s−αη+τsy;wind+τsy;waves−τbyρ0+M y−D y+V∂ζ+τ0Q y−gH∂ζ;ð4Þand the currents are obtained from the vertically-integrated momen-tum equations:∂U∂t+U ∂U∂x+V∂U∂y−fV=−g∂∂xζ+P sgρ0−αη+τsx;winds+τsx;waves−τbxρ0H+M x−D xH;ð5Þand:∂V∂t+U ∂V∂x+V∂V∂y+fU=−g∂∂yζ+P sgρ0−αη+τsy;winds+τsy;waves−τbyρ0H+M y−D yH;ð6Þwhere H=ζ+h is the total water depth;ζis the deviation of the water surface from the mean;h is the bathymetric depth;U and V are depth-integrated currents in the x-and y-directions,respectively;Q x=UH and Q y=VH arefluxes per unit width;f is the Coriolis parameter;g is the gravitational acceleration;P s is the atmospheric pressure at the surface;ρ0is the reference density of water;ηis the Newtonian equilibrium tidal potential andαis the effective earth elasticity factor;τs,winds andτs,waves are surface stresses due to winds and waves,respectively;τb is the bottom stress;M are lateral stress gradients;D are momentum dispersion terms;andτ0is a numerical parameter that optimizes the phase propagation properties(Atkinson et al.,2004;Kolar et al.,1994). ADCIRC computes water levelsζand currents U and V on an unstructured,triangular mesh by applying a linear Lagrange interpola-tion and solving for three degrees of freedom at every mesh vertex.2.3.Sharing informationSWAN is driven by wind speeds,water levels and currents computed at the vertices by ADCIRC.Marine winds can be input to ADCIRC in a variety of formats,and these winds are adjusted directionally to account for surface roughness(Bunya et al.,2010).ADCIRC interpolates spatially and temporally to project these winds to the computational vertices, and then it passes them to SWAN.The water levels and ambient currents are computed in ADCIRC before being passed to SWAN,where they are used to recalculate the water depth and all related wave processes (wave propagation,depth-induced breaking,etc.).The ADCIRC model is driven partly by radiation stress gradients that are computed using information from SWAN.These gradientsτs,waves are computed by:τsx;waves=−∂S xx−∂S xy;ð7Þand:τsy;waves=−∂S xy∂x−∂S yy∂y;ð8Þwhere S xx,S xy and S yy are the wave radiation stresses(Longuet–Higgins and Stewart,1964;Battjes,1972):S xx=ρ0g∬n cos2θ+n−12σNdσdθ;ð9ÞS xy=ρ0g∬n sinθcosθσNðÞdσdθ;ð10Þand:S yy=ρ0g∬n sin2θ+n−12σNdσdθ;ð11ÞFig.7.Schematic of southern Louisiana with numbered markers of the locations listed in Table1.Locations of the two CSI nearshore wave gauges and the hurricane tracks are also shown.49J.C.Dietrich et al./Coastal Engineering58(2011)45–65where n is the ratio of group velocity to phase velocity.The radiation stresses are computed at the mesh vertices using Eqs.(9)–(11).Then they are interpolated into the space of continuous,piecewise linear functions and differentiated to obtain the gradients in Eqs.(7)and (8),which are constant on each element.These element-based gradients are projected to the vertices by taking an area-weighted average of the gradients on the elements adjacent to each vertex.2.4.Coupling procedureADCIRC and SWAN run in series on the same local mesh and core.The two models “leap frog ”through time,each being forced with information from the other model.Because of the sweeping method used by SWAN to update the wave information at the computational vertices,it can takemuchFig.8.Hurricane Katrina signi ficant wave height contours (m)and wind speed vectors (m s −1)at 12-h intervals in the Gulf of Mexico.The six panels correspond to the following times:(a)2200UTC 26August 2005,(b)1000UTC 27August 2005,(c)2200UTC 27August 2005,(d)1000UTC 28August 2005,(e)2200UTC 28August 2005and (f)1000UTC 29August 2005.50J.C.Dietrich et al./Coastal Engineering 58(2011)45–65larger time steps than ADCIRC,which is diffusion-and also Courant-time-step limited due to its semi-explicit formulation and its wetting-and-drying algorithm.For that reason,the coupling interval is taken to be the same as the SWAN time step.On each coupling interval,ADCIRC is run first,because we assume that,in the nearshore and the coastal floodplain,wave properties are more dependent on circulation.At the beginning of a coupling interval,ADCIRC can access the radiation stress gradients computed by SWAN at times corresponding to the beginning and end of the previous interval.ADCIRC uses that information to extrapolate the gradients at all of its time steps in the current interval.These extrapolated gradients are used to force the ADCIRC solution as described previously.Once the ADCIRC stage is finished,SWAN is run for one time step,to bring it to the same moment in time as ADCIRC.SWAN can access the wind speeds,water levels and currents computed at the mesh vertices by ADCIRC,at times corresponding to the beginning and end of the current interval.SWAN applies the mean of those values to force its solution on its time step.In this way,the radiation stress gradients used by ADCIRC are always extrapolated forward in time,while the wind speeds,water levels and currents used by SWAN are always averaged over each of its time steps.2.5.Parallel coupling frameworkThe METIS domain-decomposition algorithm is applied to distribute the global mesh over a number of computational cores (Karypis and Kumar,1999).The decomposition minimizes inter-core communication by creating local sub-meshes with small ratios of the number of vertices within the domain to the number of shared vertices at sub-mesh interfaces.The decomposition also balances the computational load by creating local sub-meshes with a similar number of vertices;the local meshes decrease in geographical area as their average mesh size is decreased.A schematic of the communication is shown in Fig.1.Each local core has a sub-mesh that shares a layer of boundary elements with the sub-meshes on its neighbor cores.To update the information at these boundaries in either model,information is passed at the shared vertices on each sub-mesh.This communication is local between adjacent sub-meshes.Furthermore,only a small fraction of the vertices on any sub-mesh are shared.Thus the parallel,inter-core communication is localized and ef ficient.SWAN and ADCIRC utilize the same local rmation is stored at the vertices in both models,so it can be passed through local memory or cache,without the need for any network-based,inter-core communication.In contrast to loose coupling paradigms,in which the model components run on different sub-meshes and different cores,SWAN+ADCIRC does not destroy its scalability by interpolating semi-globally.The inter-model communication is intra-core.3.Hindcasts of Katrina and Rita 3.1.Parameters of hindcastsSWAN+ADCIRC will utilize the SL15mesh that has been validated for applications in southern Louisiana (Dietrich et al.,2010;BunyaFig.9.Hurricane Katrina winds and waves at 1000UTC 29August 2005in southeastern Louisiana.The panels are:(a)wind contours and vectors (m s −1),shown with a 10min averaging period and at 10m elevation;(b)signi ficant wave height contours (m)and wind vectors (m s −1);(c)mean wave period contours (s)and wind vectors (m s −1);and (d)radiation stress gradient contours (m2s −2)and wind vectors (m s −1).51J.C.Dietrich et al./Coastal Engineering 58(2011)45–65et al.,2010).The complex bathymetry/topography and mesh resolution are shown in Figs.2–4.This mesh incorporates local resolution down to 50m,but also extends to the Gulf of Mexico and the western North Atlantic Ocean.It includes a continental shelf that narrows near the protruding delta of the Mississippi River,suf ficient resolution of the wave-transformation zones near the delta and over the barrier islands,and intricate representation of the various natural and man-made geographic features that collect and focus storm surge in this region.The SL15mesh contains 2,409,635vertices and 4,721,496triangular elements.An example of the METIS domain decomposition of the SL15mesh on 1014cores is shown in Fig.5.Local sub-meshes are shown in separate colors,and the cores communicate via the layers of overlapping elements that connect these local meshes.Each parallel core utilizes the same unstructured local sub-mesh for both SWAN and ADCIRC.Notable geographic locations are summarized in Table 1and shown in Figs.6and 7.SWAN+ADCIRC has been validated via hindcasts of Katrina and Rita,which utilize optimized wind fields developed with an Interactive Objective Kinematic Analysis (IOKA)System (Cox et al.,1995;Cardone et al.,2007).The Katrina wind fields also have an inner core that is data-assimilated from NOAA's Hurricane Research Division Wind Analysis System (H*WIND)(Powell et al.,1996,1998).The wind speeds are referenced to 10m in height,peak 30min averaged “sustained ”wind speed,and marine exposure.They contain snapshots at 15min intervals on a regular 0.05°grid.The wind fields are read by ADCIRC,and then each local core interpolates onto its local sub-mesh.With the lone exception of the source of its radiation stress gradients,ADCIRC uses the same parameters as discussed in Bunya et al.(2010).The water levels are adjusted for the regional difference between LMSL and NAVD88(2004.65)and the seasonal fluctuation in sea level in the Gulf of Mexico.Bottom friction is parameterized using a Manning's n formulation,with spatially-variable values based on land classi fication.The Mississippi and Atchafalaya Rivers are forced with flow rates that are representative of the conditions during the storms.In addition,seven tidal constituents are forced on the open boundary in the Atlantic Ocean.ADCIRC applies a wind drag coef ficient due to Garratt (1977)with a cap of C d ≤0.0035.The SWAN time step and the coupling interval are 600s.The SWAN frequencies range from 0.031to 0.548Hz and are discretized into 30bins on a logarithmic scale (Δσ/σ≈0.1).The wave directions are discretized into 36sectors,each sector representing 10°.The present simulations use the SWAN default for wind input based on Snyder et al.(1981)and the modi fied whitecapping expression of Rogers et al.(2003),which yields less dissipation in lower frequency components and better prediction of the wave periods compared to the default formulation of Hasselmann (1974).Quadruplet nonlinear interactions are computed with the Discrete Interaction Approxima-tion (Hasselmann et al.,1985).For the shallow-water source terms,depth-induced breaking is computed with a spectral version oftheFig.10.Hurricane Katrina water levels and currents at 1000UTC 29August 2005in southeastern Louisiana.The panels are:(a)water level contours (m)and wind vectors (m s −1);(b)wave-driven set-up contours (m)and wind vectors (m s −1);(c)current contours (m s −1)and wind vectors (m s −1);and (d)wave-driven current contours (m s −1)and wind vectors (m s −1).52J.C.Dietrich et al./Coastal Engineering 58(2011)45–65model due to Battjes and Janssen (1978)with the breaking index γ=0.73,bottom friction is based on the JONSWAP formulation (Hasselmann et al.,1973)with friction coef ficient C b =0.067m 2s −3,and the triad nonlinear interactions are computed with the Lumped Triad Approximation of Eldeberky (1996).Although the resolution in the SL15mesh is well-suited to simulate waves and surge along the coastlines of Louisiana,Mississippi and Alabama,its relatively coarse resolution in the Caribbean Sea and Atlantic Ocean can create spurious wave refraction over one spatial element.Thus,wave refraction is enabled only in the computational sub-meshes in which the resolution of the bathymetry is suf ficient,speci fically in the northern Gulf of Mexico.SWAN applies a wind drag coef ficient due to Wu (1982)with a cap of C d ≤0.0035.In the validation sections that follow,the SWAN wave quantities will be compared to the measured data and also to the solution from a loose coupling to structured versions of WAM and STWAVE.WAM was run on a regular 0.05°mesh with coverage of the entire Gulf of Mexico,while STWAVE was run on four or five nested sub-meshes with resolution of 200m and coverage of southern Louisiana,Mississippi and Alabama.The details of this loose coupling can be found in Bunya et al.(2010)and Dietrich et al.(2010).For the validation herein,wave parameters from WAM and STWAVE were integrated to 0.41Hz,while parameters from SWAN were integrated to 0.55Hz.3.2.Hurricane KatrinaKatrina is a good validation case because of its size and scope.It was a large hurricane,with waves of 16.5m measured off the continental shelf and storm surge of 8.8m measured along the Mississippi coastline.But it also generated waves and storm surge over multiple scales and impacted the complex topography and levee protection system of southeastern Louisiana.To simulate the evolution of this hurricane,the coupled model must describe the system in rich detail and integrate seamlessly all of its components.3.2.1.Evolution of waves in deep waterBecause SWAN has not been used traditionally in deep water,we examine the behavior of its solution as Katrina moved through the Gulf of Mexico.Fig.8depicts the computed signi ficant wave heights at 12h intervals as Katrina enters the Gulf,generates waves throughout the majority of the basin,and then makes landfall in southern Louisiana.In its early stages,Katrina generated signi ficant wave heights of 6–9m in the eastern half of the Gulf.However,as the storm strengthened on 28August 2005,the signi ficant wave heights increased to a peak of about 22m at 2200UTC,and waves of at least 3m were generated throughout most of the Gulf.The impact of the hurricane on waves was widespread anddramatic.Fig.11.Signi ficant wave heights (m)during Hurricane Katrina at 12NDBC buoys.The measured data is shown with black dots,the modeled SWAN results are shown with black lines,and the modeled WAM results are shown with gray lines.53J.C.Dietrich et al./Coastal Engineering 58(2011)45–65。

磁共振扩散高阶张量成像的脑白质纤维微结构模型及特征提取算法

磁共振扩散高阶张量成像的脑白质纤维微结构模型及特征提取算法

法 根 据 张 量 模 型 的特 征 , 先 利 用 网格 细 分 快 速确 定 特 征 方 向 的大 致 区域 , 一 步 针 对 该 区域 进 行 细 分 , 而 迭 代 首 进 从 获 得 精 确 的 高 阶 张 量 模 型 特 征 方 向 。该 方 法 解 决 了 现 有 符 号 计 算 方 法 易 于 陷 入 局 部 极 值 点 或 者 搜 索 不 收 敛 带 来 的 误 差 和 计 算 效 率 问题 。 为 了 测 试 所 提 出 算 法 的有 效 性 , 先 利 用 仿 真 数 据 分 析 了算 法 对 不 同数 目 、 同交 角 纤 首 不 维 的识 别 能 力和 特征 方 向 的 计 算 精 度 ; 时 利 用 实 际 D M I 床 数 据 进 行 了测 试 。结 果 表 明 , 比 于 现 有 的 符 同 W- R 临 相 号 计 算 方 法 ,所 提 出 的算 法 可 以在 6阶 以及 更 高 阶 模 型 下 获 得 稳 定 的纤 维 特 征 方 向 。
Ab ta t n df s n w ihe g ei rsn n e i gn D MR )o ht matrf e cot c r sr c :I iui — eg td ma n t eo a c maig( W- I fw i t b rmi s u t e f o c e ei r r u mo eig ih rod rtno HO d l ,hg e re e sr( T)i amo e o d sr e c mpe ht matrf e t cue h tte n s d lt eci o lxw i t b rs u trsta h b e e i r c mm nyu e iuin tno g g( T )mo e fi o d sr e o o l sd df s e sri i f o ma n D I d l al t eci .Ho e e o btce tleii i s b w v rsmeo s lssi xs n a l t

耦合光热发电储热-有机朗肯循环的先进绝热压缩空气储能系统热力学分析

耦合光热发电储热-有机朗肯循环的先进绝热压缩空气储能系统热力学分析

第 12 卷第 12 期2023 年 12 月Vol.12 No.12Dec. 2023储能科学与技术Energy Storage Science and Technology耦合光热发电储热-有机朗肯循环的先进绝热压缩空气储能系统热力学分析尹航1,王强1,朱佳华2,廖志荣2,张子楠1,徐二树2,徐超2(1中国广核新能源控股有限公司,北京100160;2华北电力大学能源动力与机械工程学院,北京102206)摘要:先进绝热压缩空气储能是一种储能规模大、对环境无污染的储能方式。

为了提高储能系统效率,本工作提出了一种耦合光热发电储热-有机朗肯循环的先进绝热压缩空气储能系统(AA-CAES+CSP+ORC)。

该系统中光热发电储热用来解决先进绝热压缩空气储能系统压缩热有限的问题,而有机朗肯循环发电系统中的中低温余热发电来进一步提升储能效率。

本工作首先在Aspen Plus软件上搭建了该耦合系统的热力学仿真模型,随后本工作研究并对比两种聚光太阳能储热介质对系统性能的影响,研究结果表明,导热油和太阳盐相比,使用太阳盐为聚光太阳能储热介质的系统性能更好,储能效率达到了115.9%,往返效率达到了68.2%,㶲效率达到了76.8%,储电折合转化系数达到了92.8%,储能密度达到了5.53 kWh/m3。

此外,本研究还发现低环境温度、高空气汽轮机入口温度及高空气汽轮机入口压力有利于系统储能性能的提高。

关键词:先进绝热压缩空气储能;聚光太阳能辅热;有机朗肯循环;热力学模型;㶲分析doi: 10.19799/ki.2095-4239.2023.0548中图分类号:TK 02 文献标志码:A 文章编号:2095-4239(2023)12-3749-12 Thermodynamic analysis of an advanced adiabatic compressed-air energy storage system coupled with molten salt heat and storage-organic Rankine cycleYIN Hang1, WANG Qiang1, ZHU Jiahua2, LIAO Zhirong2, ZHANG Zinan1, XU Ershu2, XU Chao2(1CGN New Energy Holding Co., Ltd., Beijing 100160, China; 2School of Energy Power and Mechanical Engineering,North China Electric Power University, Beijing 102206, China)Abstract:Advanced adiabatic compressed-air energy storage is a method for storing energy at a large scale and with no environmental pollution. To improve its efficiency, an advanced adiabatic compressed-air energy storage system (AA-CAES+CSP+ORC) coupled with the thermal storage-organic Rankine cycle for photothermal power generation is proposed in this report. In this system, the storage of heat from photothermal power generation is used to solve the problem of limited compression heat in the AA-CAES+CSP+ORC, while the medium- and low-temperature waste heat generation in the organic Rankine cycle power收稿日期:2023-08-18;修改稿日期:2023-09-18。

浮选固液界面性质的表征技术研究进展

浮选固液界面性质的表征技术研究进展

第 54 卷第 10 期2023 年 10 月中南大学学报(自然科学版)Journal of Central South University (Science and Technology)V ol.54 No.10Oct. 2023浮选固液界面性质的表征技术研究进展康雅敏,范桂侠,郝海青,曹亦俊(郑州大学 化工学院,河南 郑州,450000)摘要:浮选是发生在固、液、气三相界面的物理化学过程,其界面性质影响矿物颗粒的分选效果,尤以固液界面的影响更为显著。

因此,分析浮选药剂与矿物表面的界面作用是强化浮选过程的重要途径。

本文综述了耗散型石英晶体微天平、原子力显微镜、表面力仪、和频振动光谱以及分子动力学模拟等表征技术在固液界面性质研究中的应用,从宏观到微观尺度分析浮选药剂与矿物表面的界面作用及空间匹配机制,分析各种表征手段的特点及优势。

为深入研究浮选固液界面性质,未来可结合多种先进测试技术,发展多功能表征仪器,从多角度精确解析界面间相互作用及其性质变化。

关键词:固液界面;表征技术;界面作用;空间匹配中图分类号:TD923 文献标志码:A 开放科学(资源服务)标识码(OSID)文章编号:1672-7207(2023)10-3787-11Progress in characterization of solid-liquid interface properties inflotationKANG Yamin, FAN Guixia, HAO Haiqing, CAO Yijun(College of Chemical Technology, Zhengzhou University, Zhengzhou 450000, China)Abstract: Flotation is a physicochemical process reacting at the interface of solid, liquid and gas. At the same time, separation effect of minerals is greatly influenced by the interface properties in pulp, especially the solid-liquid interface. Therefore, analysis of the interfacial interaction between flotation reagents and mineral surfaces is considered as an essential approach to strengthen flotation process. In this paper, the applications of advanced characterization techniques were reviewed to investigate particularity of the solid-liquid interface, including quartz crystal microbalances with dissipation monitoring, surface force apparatus, atomic force microscope, sumfrequency generation spectroscopy and molecular dynamic simulation. Meanwhile, the features and advantages of收稿日期: 2022 −11 −08; 修回日期: 2022 −12 −29基金项目(Foundation item):国家重点研发计划项目(2022YFC3900100);国家自然科学基金资助项目(U1908226);中国博士后科学基金资助项目(2022M710851);河南省重点研发专项项目(221111320300) (Project(2022YFC3900100) supported by the National Key Research and Development Program of China; Project(U1908226) supported by the National Natural Science Foundation of China; Project(2022M710851) supported by the China Postdoctoral Science Foundation; Project(221111320300) supported by the Key Research and Development Sepcial Program of Henan Province)通信作者:曹亦俊,博士,教授,博士生导师,从事低品质矿产资源开发利用研究;E-mail :****************DOI: 10.11817/j.issn.1672-7207.2023.10.001引用格式: 康雅敏, 范桂侠, 郝海青, 等. 浮选固液界面性质的表征技术研究进展[J].中南大学学报(自然科学版), 2023, 54(10): 3787−3797.Citation: KANG Yamin, FAN Guixia, HAO Haiqing, et al. Progress in characterization of solid-liquid interface properties in flotation [J]. Journal of Central South University(Science and Technology), 2023, 54(10): 3787−3797.第 54 卷中南大学学报(自然科学版)these characterization methods were introduced by discussing interfacial interaction and spatial matching mechanism between flotation reagents and mineral surfaces from macroscale to microscale. In order to reveal properties of solid-liquid interface in depth, various kinds of measurement techniques can be combined to make multifunctional characterization instruments in the future. Hence, the interaction of different interfaces and their properties changes can be precisely investigated from various aspects.Key words: solid-liquid interface; characterization techniques; interfacial interaction; spatial matching浮选是一种涉及固、液、气三相界面的分离技术,主要根据矿物表面的物理化学性质差异实现目的矿物与脉石矿物的分离[1]。

国外渔业文摘不规则波浪中的重力网箱流体动力学性状的数值模拟

国外渔业文摘不规则波浪中的重力网箱流体动力学性状的数值模拟
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CFX培训教材06瞬态模拟

CFX培训教材06瞬态模拟
的几个循环
Residuals
2 4 6 8 10 12 14 16
Time (seconds)
5. 求解控制 Transient scheme定义瞬态项的数值算法
两个隐式时间步格式可选: First Order Backward Euler (更稳定) Second Order Backward Euler (更精确)
Dt 时间
2.时间长度和步长
… 为了维持求解器的稳定性,也需要较小的时间步
关心的量可能变化缓慢 (例如. 固体内的稳定变化), 如果 其它量(如, 速度)具有较小的时间尺度,就不能采用较大的 时间步 Courant Number Velocity Dt
Courant数常用于评估时间步: Element Size
ANSYS CFX 培训教材 第六节:瞬态模拟
安世亚太科技 (北京)有限公

原因 自然界几乎所有流动都是瞬态流动!
在以下假设下,可以认为流动是稳态的:
忽略非稳态波动 采用总/时均方法,忽略流动的波动性 (这也是为什么采用湍流模型模化湍流
的原因)
在CFD,首选稳态的计算方法
更小的计算代价 更易处理和分析
在一个时间步内,流体通过的网格的数目 Courant数通常介于2 – 10之间, 但在一些情况下该值稍高也可以接受 平均的Courant数和最大Courant数在每个时间步求解器.out文件中会显示出来
3. 边界条件
• 必要的情况下, 边界条件可以是时间的函数
– 速度, 质量流, 压力条件, 温度, 等. 都能作为函数表达式
– 在CEL表达式中使用 “t”或者“Time”
4. 初始化
• 最好采用与物理实际符合的初值条件

潜堤上破碎波浪传播变形的数值模型及其验证

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揭开流体动力学之谜:量子摩擦︱NaturePodcast

揭开流体动力学之谜:量子摩擦︱NaturePodcast

揭开流体动力学之谜:量子摩擦︱NaturePodcast本期播客剪辑里,Nick Petrić Howe采访了熨斗研究院(Flatiron Institute)的纳米流体学研究员Nikita Kavokine。

Nikita作为第一作者和通讯作者之一,在《自然》发表了一项新的研究论文,发现了水在碳纳米管的流动的神秘方式。

欢迎前往iTunes或你喜欢的其他播客平台下载完整版,随时随地收听一周科研新鲜事。

【编者注:在宏观尺度上,水在较宽的管道中比在较窄的管道中流得快。

然而,在微小的碳纳米管中,流速是相反的,水在最窄的通道中流动更快。

研究人员对这一现象提出了一个新的解释:量子摩擦。

如果得到验证,它可以让材料设计者对通过微小通道的流动进行微调,或可用于水净化等过程。

】音频文本:Interviewer: Nick Petrić HoweThere’s a mystery in the world of nanofluidics – the science of flow at the molecular scale.Interviewee: Nikita KavokineSo, it all started with reports of very fast flows of water through tiny, tiny carbon nanotubes. And so, the puzzling findings with these narrow tubes was the narrower the tube, the smaller the friction.Interviewer: Nick Petrić HoweThis is Nikita Kavokine, a nanofluidics researcher at the Flatiron Institute in New York, USA. This faster flow through narrower carbon nanotubes is the opposite of what we’re used to at the macro scale. When water flows through a garden hose, say, the narrower the hose the more slowly it flows. So, what is going on at the tiny scale? Well you may have caught the word 'friction’ there. This resistance to motion is a lot more important at the small scale. There is a greater proportion of the water incontact with the pipe at these tiny scales. But herein lies another mystery.Interviewee: Nikita KavokineHow is it possible to have friction when a surface is perfectly smooth?Interviewer: Nick Petrić HoweThe carbon nanotubes at the heart of this mystery have what’s known as atomic smoothness – they have no defects –so there’s nothing really for the water to rub against to generate friction. But this week in Nature, Nikita and his colleagues have come up with a theory that they think can solve this conundrum.《自然》论文:Fluctuation-induced quantum friction in nanoscale water flows长按并识别右方二维码,阅读全文→Interviewee: Nikita KavokineIt turns out that there can still be friction, and this is what we call 'quantum friction’.Interviewer: Nick Petrić HoweNow, I know what you’re thinking and, no, they haven’t added the word 'quantum’ and called it a day. At such tiny scales, quantum interactions between atoms are relevant. In fact, using quantum theory, the team were able to mathematically explain the fast flow in narrow tubes that has been seen in previous experiments. Their theory works like this. Water has a slight positive charge which fluctuates as it moves through the tube. This positive charge interacts with negatively charged electrons moving around in the solid wall of the carbon nanotube.Interviewee: Nikita KavokineAnd it turns out that the interaction between the successive, instantaneous configurations of all these moving atoms, theyproduce friction still, even though the roughness on average is zero.Interviewer: Nick Petrić HoweSo, even when things are perfectly smooth, at these tiny scales, friction, or in this case quantum friction, can still slow things down. Now, that’s one thing, but how does it explain the fact that in narrower carbon nanotubes the water moves more quickly? Why is there less quantum friction here? Well, carbon nanotubes are made from multiple layers. In the wider tubes, the layers are more well-aligned than in the narrower tubes. This alignment allows electrons to do something known as quantum tunnelling. This basically means that they can transiently move between these well-aligned layers. These layer-jumping electrons can work together to have a greater pull on the water. In other words, there’s more quantum friction. Whereas in the narrower tubes, the layers are less well aligned, so this doesn’t occur as much, so there’s less quantum friction. A similar rationale explains an equally strange finding in graphene and graphite.Interviewee: Nikita KavokineThe other striking experimental result is that friction of water is much lower on graphene than on graphite. Now, it turns out that in graphite, the electrons can move in between the layers and they can all oscillate in sync in between those layers. On the other hand, in monolayer graphene, the electrons are confined to the single layer. They cannot move perpendicular to the layer so there is very low quantum friction.Interviewer: Nick Petrić HoweOf course, there’s plenty of experiments to be done to confirm Nikita’s theoretical explanation, but it does explain previous experimental results well. For Radha Boya, ananoflui dics researcher who wasn’t associated with this study, one of the novel things about this new paper is that it takes into account the influence of the actual tube on the water.Interviewee: Radha BoyaSo, usually when people do simulations for nanofluidic channels, they usually worry about the fluids and the surface. But the confining material itself, the solid material, is not given so much importance. It is mostly thought of as a geometric barrier rather than contributing to the flows.Interviewer: Nick Petrić HoweSo, until now, the influence of the material of the tube itself on the flow hasn’t really been studied. But if we understand this better, Radha says, we can then fine tune the flow of water through these tiny tubes by carefully selecting a material based on how much quantum friction it creates. For Nikita, this new paper on flows at the small scale represents a step change in our understanding.Interviewee: Nikita KavokineWell, yes, I think this is really a paradigm change for fluid dynamics because usually in hydrodynamics, well, a wall is a wall. It’s simply a boundary condition. And here, we find that actually the water flows near the wall, they couple to the electron flows inside the wall, and so the very subtle properties of these electron flows determine how fluid flows near the wall. So, yes, this will, I think, completely change the way we consider fluid flows at the nanoscale.《自然》论文:Fluctuation-induced quantum friction in nanoscale water flows。

流体驱动人工肌肉技术的新研究领域

流体驱动人工肌肉技术的新研究领域

流体驱动人工肌肉技术的新研究领域柯尊荣 1 李晓辉2(1.南昌大学机电学院,江西南昌 330029; 2.华中科技大学机械学院,湖北武汉 430074)摘 要:针对当前气动人工肌肉的固有缺点和应用局限性,基于流体驱动人工肌肉的工作原理和前期相关实验,探讨流体驱动人工肌肉技术研究的拓展新领域及其在新领域中的研究现状和发展趋势,指出其当前需要研究的关键学术问题。

关键词:人工肌肉;新领域;学术问题 中图分类法:TH137文章标识码:B文章编号:1008- 0813(2008)02- 0008- 03N e w R esearch Field of Fluids Driven Artificial Muscl e TechnologyKE Z u n- rong(1.N anchang U n iversity, School of Mechanical & 2.H u azhong U n iversity of S cience and LI Xiao- huiEl ectrical Engineering, N anchang 330029, China;T e chnol ogy, School of MechanicalScience & Engineering, H u azhong 430074, China)Abst r a ct :With considerations in present pneumatic muscle' s inherent shortcoming s and it' s limitation in applications and based onthe working theories of fluid driven artificial muscle and related ex periments, new research field of fluid driven artificial muscle technology and it ' s present research state and perspectives are discussed and the academic problems which seriously needed to be investigated presently are pointed out.Key Wor d s: artificial muscle; new field; academic problems前言流体驱动的人工肌肉 AM (A rtificial M uscle )技术 是仿生学应用于流体驱动领域的结果,是流体驱动领 域的研究前沿之一[1]。

非常规主尺度比的海船波浪载荷计算

非常规主尺度比的海船波浪载荷计算

非常规主尺度比的海船波浪载荷计算李英伟【摘要】以一艘典型的非常规主尺度比的油驳为研究对象,采用直接计算法进行波浪载荷计算,并与传统经验公式法的计算结果进行比较.计算结果表明:前者与后者的波浪弯矩比值约1.4,波浪剪力比值约1.5.大量计算实践也表明直接计算值普遍大于规范计算值.因此,对于非常规主尺度比的船舶而言,对波浪载荷进行直接计算是必要的.【期刊名称】《造船技术》【年(卷),期】2019(000)001【总页数】7页(P36-42)【关键词】IACS;非常规主尺度比;直接计算;波浪载荷;长期预报【作者】李英伟【作者单位】上海航盛船舶设计有限公司,上海200023【正文语种】中文【中图分类】U661.430 引言在考虑船舶总纵强度方面的问题时,通常把船假定为一根空心梁浮于水上,承受静水载荷和波浪载荷。

静水载荷主要由船舶各部分重量与对应浮力的差值引起,较易确定,计算方法也较成熟可靠。

波浪载荷的计算相对复杂,一般用标准波浪代替实际波浪,把船体静置在标准波浪上计算船体受到的载荷。

研究发现,波高越高,浮力变化越大,波浪弯矩也随之增加。

对于船长150 m以下的船舶,波长取船长,波高取1/20波长计算波浪弯矩已足够;对于船长150 m以上的船舶,波长仍取船长显得不太合适,因为各种波长的浪其发生频率不同。

例如,船长为60 m的船舶遭遇波长为60 m的波浪比船长为300 m的船舶遭遇波长为300 m的波浪的机会多[1]。

对大船而言,波长取船长会导致波高过大,引起波浪载荷计算偏大,总纵强度要求提高,进而增加结构质量,不利于结构设计的优化。

海洋上的波浪瞬息万变、极不规则。

船与波浪之间的相对位置时时刻刻都在变化,因此船舶运动和波浪载荷是随机变化的。

经研究,波浪载荷主要随波长、波高、船型尺度、船与波浪的相对位置而变化[1]。

在考虑船体结构总纵强度的问题时,目前各大船级社在波浪载荷的计算上要求基本一致,即采用IACS推荐的经验公式计算法或利用水动力学对环境载荷进行直接计算。

质谱分析法中英文专业词汇

质谱分析法中英文专业词汇

质谱分析法:mass spectrometry质谱:mass spectrum,MS棒图:bar graph选择离子检测:selected ion monitoring ,SIM直接进样:direct probe inlet ,DPI接口:interface气相色谱-质谱联用:gas chromatography-mass spectrometry,GC-MS 高效液相色谱-质谱联用:high performance liquid chromatography-mass spectrometry,HPLC-MS电子轰击离子源:electron impact source,EI离子峰:quasi-molecular ions化学离子源:chemical ionization source,CI场电离:field ionization,FI场解析:field desorptiion,FD快速原子轰击离子源:fast stom bombardment ,FAB质量分析器:mass analyzer磁质谱仪:magnetic-sector mass spectrometer四极杆质谱仪(四极质谱仪):quadrupole mass spectrometer紫外-可见分光光度法:ultraviolet and visible spectrophotometry;UV-vis 相对丰度(相对强度):relative avundance原子质量单位:amu离子丰度:ion abundance基峰:base peak质量范围:mass range分辨率:resolution灵敏度:sensitivity信噪比:S/N分子离子:molecular ion碎片离子:fragment ion同位素离子:isotopic ion亚稳离子:metastable ion亚稳峰:metastable peak母离子:paren ion子离子:daughter含奇数个电子的离子:odd electron含偶数个电子的离子:even eletron,EE 均裂:homolytic cleavage异裂(非均裂):heterolytic cleavage 半均裂:hemi-homolysis cleavage重排:rearragement分子量:MWα-裂解:α-cleavage 电磁波谱:electromagnetic spectrum光谱:spectrum光谱分析法:spectroscopic analysis原子发射光谱法:atomic emission spectroscopy肩峰:shoulder peak末端吸收:end absorbtion生色团:chromophore助色团:auxochrome红移:red shift长移:bathochromic shift短移:hypsochromic shift蓝(紫)移:blue shift增色效应(浓色效应):hyperchromic effect 减色效应(淡色效应):hypochromic effect 强带:strong band弱带:weak band吸收带:absorption band透光率:transmitance,T吸光度:absorbance谱带宽度:band width杂散光:stray light噪声:noise暗噪声:dark noise散粒噪声:signal shot noise闪耀光栅:blazed grating全息光栅:holographic graaing光二极管阵列检测器:photodiode array detector偏最小二乘法:partial least squares method ,PLS褶合光谱法:convolution spectrometry 褶合变换:convolution transform,CT离散小波变换:wavelet transform,WT 多尺度细化分析:multiscale analysis供电子取代基:electron donating group 吸电子取代基:electron with-drawing group荧光:fluorescence荧光分析法:fluorometryX-射线荧光分析法:X-ray fulorometry 原子荧光分析法:atomic fluorometry分子荧光分析法:molecular fluorometry 振动弛豫:vibrational relexation内转换:internal conversion外转换:external conversion 体系间跨越:intersystem crossing激发光谱:excitation spectrum荧光光谱:fluorescence spectrum斯托克斯位移:Stokes shift荧光寿命:fluorescence life time荧光效率:fluorescence efficiency荧光量子产率:fluorescence quantum yield荧光熄灭法:fluorescence quemching method散射光:scattering light瑞利光:Reyleith scanttering light拉曼光:Raman scattering light红外线:infrared ray,IR中红外吸收光谱:mid-infrared absorption spectrum,Mid-IR远红外光谱:Far-IR微波谱:microwave spectrum,MV红外吸收光谱法:infrared spectroscopy 红外分光光度法:infrared spectrophotometry振动形式:mode of vibration伸缩振动:stretching vibrationdouble-focusing mass spectrograph 双聚焦质谱仪trochoidal mass spectrometer 余摆线质谱仪ion-resonance mass spectrometer 离子共振质谱仪gas chromatograph-mass spectrometer 气相色谱-质谱仪quadrupole spectrometer 四极(质)谱仪Lunar Mass Spectrometer 月球质谱仪Frequency Mass Spectrometer 频率质谱仪velocitron 电子灯;质谱仪mass-synchrometer 同步质谱仪omegatron 回旋质谱仪。

3.0T磁共振扩散张量成像在正常女性盆底肌肉的应用

3.0T磁共振扩散张量成像在正常女性盆底肌肉的应用

3.0T磁共振扩散张量成像在正常女性盆底肌肉的应用尚华;刘剑羽;周广金;周延【期刊名称】《中国医学影像学杂志》【年(卷),期】2013(000)012【摘要】目的探讨3.0T MR扩散张量成像(DTI)在正常女性盆底肌肉纤维束的三维显示及参数特点,为DTI在盆腔器官脱垂患者的应用提供参考。

资料与方法50例未生育和经剖宫产分娩的女性,按年龄分为20~29岁(15例)、30~39岁(15例)、40~49岁(12例)、50~54岁(8例)。

于3.0T MRI上首先行常规矢状位、横轴位、冠状位T2WI、横轴位T1WI检查;然后行动态正中矢状位Fiesta序列检查,排除盆腔器官脱垂;最后采用二维扩散加权横断自旋平面回波(SE-EPI)脉冲序列行盆底DTI检查,对DTI图像进行后处理获得正常女性盆底肌肉纤维束图像,并测量对应肌肉的表观扩散系数(ADC)值和各向异性分数(FA)值。

结果所有受检者盆底耻骨内脏肌、盆壁闭孔内肌均获得满意的三维肌肉纤维束图像及对应的ADC值、FA值;同一年龄组内左、右侧耻骨内脏肌及闭孔内肌ADC值、FA值比较,差异无统计学意义(P>0.05);不同年龄组间耻骨内脏肌及闭孔内肌ADC值、FA值比较,差异无统计学意义(P>0.05)。

结论3.0T MR DTI纤维束成像可以三维观察女性盆底复杂肌肉纤维束结构,并且获得其正常ADC值和FA值。

【总页数】4页(P943-945,950)【作者】尚华;刘剑羽;周广金;周延【作者单位】北京大学第三医院放射科北京 100191; 河北医科大学第二医院医学影像科河北石家庄 050000;北京大学第三医院放射科北京 100191;北京大学第三医院放射科北京 100191;北京大学第三医院放射科北京 100191【正文语种】中文【中图分类】R322.6+5;R445.2【相关文献】1.3.0T磁共振扩散张量成像在四肢良、恶性软组织病变鉴别诊断中的应用 [J], 白峥嵘;卞益同;马烨;王贝贝;金国宏2.3.0T磁共振扩散张量及其纤维束成像在脑多发性硬化诊断中的应用价值 [J], 金国宏;徐镇;魏璇;朱凯;张伟;赵建国3.3.0T磁共振扩散张量成像在腰椎间盘突出诊治中的应用 [J], 钱海峰;吴晓;徐万里;宣浩波;胡明芳4.3.0T磁共振扩散加权和扩散张量成像在鼻咽癌治疗中的价值 [J], 周迅;邵国良5.3.0T磁共振扩散张量成像在鼻咽癌颞叶放射性损伤的应用研究 [J], 李春梅; 吴学永因版权原因,仅展示原文概要,查看原文内容请购买。

基于双边滤波算子的医学脊椎去噪

基于双边滤波算子的医学脊椎去噪

基于双边滤波算子的医学脊椎去噪
惠宇;武君胜;鱼滨;杜静;李航
【期刊名称】《光子学报》
【年(卷),期】2017(46)7
【摘要】为了有效滤除医学脊椎模型的噪声点,同时更好地保持模型细节,提出了一种基于双边滤波算子的医学脊椎去噪模型.采用双边滤波在多尺度条件下进行脊椎三维模型轮廓线的提取,设计改进自适应扩散系数,以更好的优化控制整个扩散过程.根据图像的离散特征,建立相应的离散迭代方程,使迭代过程离散化,并设计迭代停止准则,当去噪平滑后的图像模型与噪声相关性最小时停止迭代.与经典的向异性扩散模型方法实验结果相比,本方法在解决去噪方面达到了很好的滤波效果,同时也较好地保持了医学图像的边缘细节特征,大大优于传统滤波算法.
【总页数】6页(P159-164)
【关键词】三维模型;双边滤波;去噪;自适应;特征保持
【作者】惠宇;武君胜;鱼滨;杜静;李航
【作者单位】西北工业大学计算机学院;西北工业大学软件与微电子学院;西安电子科技大学计算机学院;西北工业大学管理学院;法士特集团咸阳精密机械分公司【正文语种】中文
【中图分类】TP391.4
【相关文献】
1.小波与双边滤波的医学超声图像去噪 [J], 张聚;王陈;程芸
2.基于Canny算子的边缘切线扩散医学超声图像去噪 [J], 肖磊;陈菲;熊秀娟
3.基于高斯滤波和双边滤波的数字图像去噪算法 [J], 潘梁静
4.基于2D-VMD和双边滤波的医学超声图像去噪算法 [J], 薛双青;贺东东
5.一种基于改进联合双边滤波的雷达图像去噪方法 [J], 孟凡;贾倩茜;杨光
因版权原因,仅展示原文概要,查看原文内容请购买。

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a r X i v :0807.2671v 1 [c o n d -m a t .s u p r -c o n ] 16 J u l 2008Moving Vortex Phases,Dynamical Symmetry Breaking,and Jamming for Vortices inHoneycomb Pinning ArraysC.Reichhardt and C.J.Olson ReichhardtTheoretical Division,Los Alamos National Laboratory,Los Alamos,New Mexico 87545(Dated:July 16,2008)We show using numerical simulations that vortices in honeycomb pinning arrays can exhibit a remarkable variety of dynamical phases that are distinct from those found for triangular and square pinning arrays.In the honeycomb arrays,it is possible for the interstitial vortices to form dimer or higher n -mer states which have an additional orientational degree of freedom that can lead to the formation of vortex molecular crystals.For filling fractions where dimer states appear,a novel dynamical symmetry breaking can occur when the dimers flow in one of two possible alignment directions.This leads to transport in the direction transverse to the applied drive.We show that dimerization produces distinct types of moving phases which depend on the direction of the driving force with respect to the pinning lattice symmetry.When the dimers are driven along certain directions,a reorientation of the dimers can produce a jamming phenomenon which results in a strong enhancement in the critical depinning force.The jamming can also cause unusual effects such as an increase in the critical depinning force when the size of the pinning sites is reduced.PACS numbers:74.25.QtI.INTRODUCTIONVortex matter in type-II superconductors has been ex-tensively studied as a unique system of many interacting particles in which nonequilibrium phase transitions can be accessed readily [1,2,3,4,5,6,7,8].In the ab-sence of driving or quenched disorder,the vortex-vortex interactions favor a triangular crystalline ordering.If the sample contains sufficiently strong quenched disorder in the form of randomly placed pinning sites,the vortex lat-tice ordering can be lost as the vortices adjust their posi-tions to accommodate to the pinning landscape [1,2,3].Under an applied drive such as the Lorentz force from a current,the vortices remain immobile or pinned for low driving forces;however,there is a threshold applied force above which the vortices begin to move over the quenched disorder.For strong disorder,the initial mov-ing state is highly inhomogeneous with the vortices flow-ing in meandering and fluctuating channels,and there is a coexistence between pinned vortices and flowing vor-tices [1,2].At higher drives the vortices move more rapidly,the effectiveness of the quenched disorder is re-duced,and the fluctuations experienced by the vortices become anisotropic due to the directionality of the ex-ternal drive [4].The vortex-vortex interactions become more important at the higher drives when the quenched disorder becomes ineffective,and a dynamical transition can occur into a moving smectic state where the vortices regain partial order in one direction [5,6,7].Here,the system has crystalline order in the direction transverse to the vortex motion and liquid-like order in the direction of vortex motion.Depending on the dimensionality and the strength of the pinning,it is also possible for the vortices to reorganize in both directions at high drives to form a moving anisotropic crystal [4,5,6,7,8,9].The ex-istence of these different phases and transitions between the phases can be inferred from signatures in transport[3]and noise fluctuations [10,11],and the moving phases have also been imaged directly using various techniques [7,8].In addition to the naturally occurring randomly placed pinning sites,it is also possible for artificial pinning sites to be created in a periodic structure [12].Recent ad-vances in nanostructuring permit the creation of a wide variety of periodic pinning landscapes where the period-icity,shape,size and density of the pinning sites can be well controlled.Distinct types of pinning arrays such as square [13,14,15,16,17,18,19,20]triangular [21,22],rectangular [23,24],honeycomb [25,26],kagom´e [25],quasicrystalline [27],and partially ordered [28]structures have been created.In these arrays the type of vortex structure that forms is determined by whether the vor-tex lattice is commensurate with the underlying pinning mensurate arrangements appear at integer multiples of the matching field B φ,which is the mag-netic field at which the vortex density matches the pin-ning density,and in general,ordered vortex states oc-cur at matching or rational fractional values of B/B φ[13,14,15,29,30,31,32].In samples where only one vortex can be captured by each pinning site,the vor-tices that appear above the first matching field sit in the interstitial regions between the pinning sites,and these interstitial vortices can adopt a variety of crystalline con-figurations [14,15,16,17,19,24,29,30,32].Since a number of distinct ordered and partially or-dered vortex states can be created in periodic pinning arrays,a much richer variety of dynamical vortex behav-iors occur for periodic pinning than for random pinning arrays [15,16,17,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49].Several of the dynami-cal phases occur due to the existence of highly mobile interstitial vortices which channel between the pinned vortices [15,17,35,36,37,39,40,42,43,45,49].As a function of applied drive,various types of mov-2FIG.1:(a)Pinning site locations(open circles)for a triangu-lar pinning array.(b)Pinning site locations for a honeycomb pinning array constructed from the triangular array in(a)by removing1/3of the pinning sites.(c)The pinning site lo-cations and vortex positions(dots)for a honeycomb pinning array at B/Bφ=1.5.The overall vortex lattice order is tri-angular.(d)The pinning site locations and vortex positions for a honeycomb pinning array at B/Bφ=2.0,where two vortices are captured at the large interstitial sites and the re-sulting dimers all have the same orientation.Here F p=0.85, R p=0.35λ,and for the honeycomb array n p=0.3125/λ2. ing phases occur,including interstitial vortices moving coherently between the pinning sites in one-dimensional paths[15,17,33,34,35,36,39,43]or periodically mod-ulated winding paths[33,35,44,45],disordered regimes where the vortex motion is liquidlike[33,35,39,43], and regimes where vorticesflow along the pinning rows [33,38,46,47,48].Other dynamical effects,such as rectification of mixtures of pinned and interstitial vor-tices,can be realized when the periodic pinning arrays are asymmetric[49].Most of the studies of vortex ordering and dynamics in periodic pinning arrays have been performed for square and triangular arrays.Experiments with honeycomb and kagom´e pinning arrays revealed interesting anomalies in the critical current at nonmatchingfields which are as pronounced as the anomalies observed at matchingfields in triangular pinning arrays[25,26].A honeycomb pin-ning array is constructed by removing every third pin-ning site from a triangular pinning array,producing a periodic arrangement of triangular interstitial sites.In Figs.1(a,b)we illustrate a triangular pinning array along with the honeycomb pinning array that results after the removal of one third of the pinning sites.The match-ing anomalies in the experiments coincide withfields B/Bφ=m/2,with m an integer.At thesefields,the vortex density would match with the regular triangular pinning array.At the matching anomalies for m>2,a portion of the vortices are located in the large intersti-tial regions of the honeycomb lattice[26],as illustrated in Fig.1(c)for B/Bφ=1.5.The overall vortex lattice structure is triangular and a strong peak in the depinning force occurs at thisfield[50].Recently,we used numerical simulations to demon-strate that vortices in honeycomb pinning arrays have a rich equilibrium phase diagram as a function of vor-tex density[50],with matching anomalies at integer and half integer matchingfields that are in agreement with experiments.The large interstitial sites created by the missing pinning sites can capture multiple interstitial vortices which form cluster states of n vortices.For 1.5≤B/Bφ<2.5,dimer states with n=2form,while for higherfields trimer and higher order n-mer states form.At the integer and half-integer matchingfields, the n-mer states can assume a global orientational or-dering which may be of ferromagnetic or antiferromag-netic type;herringbone structures can also form,similar to those observed for colloidal particles on periodic sub-strates[51,52,53,54,55]and molecules on atomic sub-strates[56].These orientationally ordered states have been termed vortex molecular crystals.Certain vortex molecular crystals have ground states that are doubly or triply degenerate,such as the dimer state illustrated in Fig.1(d)at B/Bφ=2.0where the dimers align in one of three equivalent directions[50].As the temperature is increased,the n-mers undergo a transition from an or-dered state to an orientationally disordered state in which the n-mers rotate randomly but remain confined to the interstitial pinning sites.The rotating states have been termed vortex plastic crystals.At matchingfields where vortex plastic crystals form,the anomalies in the critical current disappear[50].The predictions from the simu-lations are in general agreement with the experimental observation of the loss of certain higher order matching anomalies at higher temperatures[26].The formation of n-mers that can be aligned along degenerate symmetry directions has also been predicted for kagom´e pinning ar-rays where every other pinning site is removed from every other row of a triangular lattice[50,57].The formation of dimer states in the honeycomb pin-ning array leads to a variety of novel dynamical phases, including a spontaneous dynamical symmetry breaking effect in which the moving vortices organize into one of two equivalent states which have a component of trans-lation perpendicular to the applied drive in either the positive or negative direction[58].The transverse re-sponse appears when the external driving force is applied halfway between the two symmetric directions of aligned dimer motion.The dynamical symmetry breaking oc-curs when the equilibrium ground states have no global symmetry breaking.At B/Bφ=2.0,the ground state is symmetry broken and the dynamical moving state has3 the same broken symmetry as the ground state.Forincommensuratefillings,when the dimer alignment isdisrupted,there is no global symmetry breaking in theground state,and instead a dynamical symmetry break-ing occurs due to the applied drive.In this work we map the dynamical phase diagram forvortices in honeycomb arrays.We focus on the states1.5<B/Bφ<2.5to understand where dynamical sym-metry breaking occurs and to examine what other typesof moving phases are possible.We study how the dy-namical phases change for driving along different axesof the pinning lattice.Wefind that very different kindsof dynamics occur when the driving direction is varied,and that the value of the depinning threshold is stronglydirectionally dependent.We alsofind that a novel jam-ming phenomenon can occur due to the formation of thedimer states.For certain directions of drive,the dimersare anti-aligned with the drive,causing the dimers to be-come blocked in the interstitial regions.Although our results are specifically for vortices intype-II superconductors,the general features of this workshould also be relevant for other interacting particle sys-tems where a periodic substrate is present.Examples ofsuch systems include vortices on periodic substrates inBose-Einstein condensates(BEC),where different kindsof crystalline phases can occur which depend on thestrength of the substrate[59,60].It should be pos-sible to observe different types of vortexflow states inBEC systems[61].Our results are also relevant for col-loids on periodic substrates,where an orientational or-dering of colloidal molecular crystals occurs which is verysimilar to that of the vortex molecular crystal states[51,52,53,54,55,62].Other related systems includecharged balls on periodic substrates[63]and models ofsliding friction[64].II.SIMULATIONWe use the same simulation employed in the previousstudy of vortex equilibrium states in honeycomb pinningarrays[50].We consider a2D system of dimensions L x=L and L y=L with periodic boundary conditions in the xand y directions.The sample contains N v vortices,givinga vortex density of n v=N v/L2which is proportional tothe external magneticfield.In addition,there are N ppinning sites placed in a honeycomb arrangement with apinning density of n p=N p/L2.Thefield at which thenumber of vortices equals the number of pinning sites isdefined to be the matchingfield Bφ.The dynamics of vortex i located at position R i is gov-erned by the following overdamped equation of motion:ηd R iλ ˆR ij(2)where K1is the modified Bessel function,λis the Londonpenetration depth,f0=φ20/(2πµ0λ3),R ij=|R i−R j|isthe distance between vortex i and vortex j,and the unitvectorˆR ij=(R i−R j)/R ij.In this work all length scalesare measured in units ofλand forces in units of f o.Thevortex vortex interaction decreases sufficiently rapidly atlarge distances that a long range cutoffis placed on theinteraction force at R ij=6λto permit more efficientcomputation times.We have found that the cutoffdoesnot affect the results for thefields and forces we considerhere.The pinning force F vp i originates from individualnonoverlapping attractive parabolic traps of radius R pwhich have a maximum strength of F p.In this work weconsider the limit where only one vortex can be capturedper pinning site,with the majority of the results obtainedfor R p=0.35λ.The exact form of the pinning force is:F vpi=−N pk=1f0 F pλ ˆR(p)ik.(3)Here,R(p)ik=|R i−R(p)k|,R(p)kis the location of pinningsite k,the unit vectorˆR(p)ik=(R i−R(p)k)/R(p)ik,andΘisthe Heaviside step function.The external drive F D=F D f0ˆF D represents theLorentz force from an applied current J×B which isperpendicular to the driving force and is applied uni-formly to all the vortices.We apply the drive at variousangles to the symmetry axes of the honeycomb pinningarray.The thermal force F T i originates from Langevinkicks with the properties F T i =0and F T i(t)F T j(t′) =2ηk B Tδijδ(t−t′).Unless otherwise noted,the ther-mal force is set to zero.The initial vortex configura-tions are obtained by simulated annealing,and the ex-ternal force is then applied gradually in increments of∆F D=0.0002every1000simulation time steps.Forthe range of pinning forces used in this work,wefindthat this force ramp rate is sufficiently slow that tran-sients in the vortex dynamics do not affect the overallvelocity-force curves.We obtain the velocity-force curvesby summing the velocities in the x(longitudinal)direc-tion, V x =N−1v N v i=1v i·ˆx,and the y(transverse)di-rection, V y =N−1v N v i v i·ˆy,where v i=d R i/dt.In Fig.1(c,d)we illustrate the pinning sites and vortexconfigurations after simulated annealing for B/Bφ=1.5[Fig.1(c)]and2.0[Fig.1(d)].Here L x=L y=24λandn p=0.3125/λ2.In our previous work,Ref.[58],thedrive was applied along the x-direction for the geometryin Fig.1.40.20.40.6F D-0.08-0.06-0.04-0.020<V y >00.10.20.30.40.5<V x >B = 2B φP SB RMLRMLSBP (a)(b)FIG.2:(a)The average velocity in the x -direction V x vs external driving force F D for the honeycomb pinning array from Fig.1(d)at B/B φ=2.0with F D =F D ˆx .(b)The cor-responding average velocity in the y -direction V y vs F D .We observe four phases:the initial pinned phase (P),a symmetry broken phase (SB),a random phase (R),and a moving locked phase (ML).III.DYNAMICS AND TRANSVERSE RESPONSE FOR DRIVING IN THE LONGITUDINAL DIRECTIONWe first consider the case for driving in the x or lon-gitudinal direction,F D =F D ˆx ,for the system shown in Fig.1(d)with B/B φ=2.0,R p =0.35λ,and F p =0.85.In Figs.2(a,b)we plot V x and V y versus F D .At this filling there are four distinct dynamical phases,with the pinned (P)phase occurring at low F D .The depinning threshold F c occurs near F D =0.14when the interstitial vortices become depinned.For a system with random pinning and F D =F D ˆx ,there would be no transverse velocity response;the system would have V y =0and only V x would be finite.In contrast,for the honeycomb pinning array there is a finite velocity both in the posi-tive x direction and in either the +y or −y direction.In Fig.2(b)the transverse response V y is negative,indi-cating that the vortices are moving at a negative angle to the x axis for 0.14<F D <0.37.Figure 3(a)illustrates the vortex motion at F D =0.25,where the vortices flow in one-dimensional paths oriented at −30◦to the x axis.In Fig.3(b)a snapshot of the vortex positions shows that the vortex lattice remains ordered in the moving phase,indicating that the vortices are flowing in a coherent man-ner.We term the phase shown in Fig.3(a)the symmetry broken (SB)phase,since the flow can be tilted in either the positive or negative y -direction.At B/B φ=2.0and F D =0,the interstitial vorticesFIG.3:The dynamics of the three moving phases from Fig.2for the honeycomb pinning array at B/B φ=2.0with F D =F D ˆx .The vortex positions (filled circles),pinning site locations (open circles),and vortex trajectories (black lines)are shown in an 18λ×18λportion of the sample.(a)In the symmetry broken (SB)phase at F D =0.25,the interstitial vortices move along a −30◦angle to the x -axis while the vor-tices at the pinning sites remain immobile.(b)Vortex posi-tions only in the SB phase at F D =0.25,showing the ordering present in the vortex lattice structure.(c)In the random (R)phase at F D =0.42,the vortex motion is highly disordered with vortices pinning and repinning at random.(d)Vortex positions only in the R phase at F D =0.42indicate that the vortex lattice is disordered.(e)In the moving locked (ML)phase at F D =0.65,all the vortices channel along the pinning sites.(f)Vortex positions only in the ML phase at F D =0.65reveal an anisotropic vortex lattice structure with different numbers of vortices in each row.form an aligned dimer configuration with a three-fold de-generate ground state in which the dimers can be oriented along the y -direction,as in Fig.1(d),or along +30◦or −30◦to the x -direction,as shown in previous work [58].When a driving force is applied to the +30◦or −30◦ground states,the vortices depin and flow along +30◦or −30◦,respectively.In these cases,the symmetry break-ing in the moving state is not dynamical in nature but reflects the symmetry breaking within the ground state.If the dimers are initially aligned along the y -direction in the ground state,an applied drive induces an instabil-ity in the pinned phase and causes the dimers to rotate into the +30◦or −30◦directions,as we discuss in fur-ther detail below.In this case the symmetry breaking is dynamical in origin.In Fig.2(a,b)we find pronounced oscillations in both V x and V y just above the depinning threshold F c =0.14.These oscillations are not intrinsic features but are due to the fact that at B/B φ=2.0the interstitial vor-tex lattice is perfectly ordered,so the interstitial vor-tices move in a coherent fashion as shown in Fig.3(a).At depinning,the interstitial vortices are slowly mov-ing through a periodic potential created by vortices that remain trapped at the pinning sites.This periodic po-5100200300400500time00.20.4V y , V x 00.20.4V y , V x0.10.2V y , V x(a)(b)(c)FIG.4:Time traces of vortex velocity at fixed F D .Upper curves:V x (t );lower curves:V y (t ).(a)The symmetry broken (SB)phase at F D =0.25from Fig.3(a,b).Here pronounced oscillations occur in both V x and V y as the vortices move in a coherent fashion.(b)The random (R)phase at F D =0.42from Fig.3(c,d).In this case the transverse motion is lost and V y =0.Additionally,there are no correlated oscilla-tions.(c)The moving locked (ML)phase at F D =0.65from Fig.3(e,f).V x has been shifted down for clarity.There is a weak oscillation in V x due to the periodic substrate.Since the flow is strictly one-dimensional,as shown in Fig.3(e),there are no fluctuations in V y .tential causes the moving interstitial vortices to develop an oscillating velocity.In Fig.4(a),the instantaneous time traces of the vortex velocity V x and V y at constant F D =0.25show strong velocity oscillations.The os-cillations are also visible in Fig.2at low drives due to our choice of averaging time spent at each value of the driving current.If the averaging time is increased,the oscillations in Fig.2disappear.We note that the loca-tions of the boundaries between the different phases are not affected by the value of the velocity averaging time.At incommensurate fields,there is enough dispersion in the velocity of the moving interstitial vortices that the coherent velocity oscillations are no longer distinguish-able.As F D increases,the net vortex velocity in the SB phase increases linearly until F D =0.365,where there is an abrupt increase in V x .Fig.2(a,b)shows that this increase coincides with a jump in V y to a zero aver-age,indicating that the vortices are moving only in the x -direction on average.In Fig.3(c)we illustrate the dis-ordered vortex trajectories that occur in this phase at F D =0.42.The vortices are continually depinning and being repinned,and the order in the vortex lattice islost,as shown in Fig.3(d).We term this the random (R)phase.It resembles random dynamical phases that have previously been observed for vortices in square pin-ning arrays when the interstitial vortices begin to depin vortices from the pinning sites [29].Figure 2shows that there are pronounced random fluctuations in V x and V y in phase R,and also that V x does not increase linearly with F D but has a curvature consistent withV x =(F D −F R c )1/2,where F Rc =0.365is the thresh-old value for the SB-R transition.In the SB phase,the number of moving vortices is constant and is equal to the number of interstitial vortices,while in the R phase the number of moving vortices increases with F D .At F D =0.53,the system organizes into a one-dimensional flowing state where the vortex motion is locked along the pinning rows,as shown in Fig.3(e,f)for F D =0.65.The onset of this phase also coincides with the decrease of fluctuations in V x and the loss of fluctuations in V y ,as shown in Fig.4(c).For F D >0.53,all of the vortices are mobile and Fig.2(a)illustrates that the V x versus F D curve becomes linear again.We term this the moving locked (ML)phase,since the vor-tex motion is effectively locked along the pinning sites.When the vortices are rapidly moving,the pinning sites have the same effect as a flashing one-dimensional trough that channels the vortices [33,38].The vortices assume a smectic structure in the ML phase,since different rows have different numbers of vortices,resulting in the forma-tion of aligned dislocations.The ML phase is essentially the same state found in square pinning arrays at high drives when B/B φ>1.0[33].In previous studies of square pinning arrays with strong pinning,the initial motion of the vortices for B/B φ>1.0occurred in the form of one-dimensional channels between the vortices trapped at the pinning sites [33].In the honeycomb pinning array,similar flow occurs in the SB phase as shown in Fig.3(a).For B/B φ<1.5in the honeycomb array,the initial inter-stitial flow for depinning in the x direction occurs via the flow of individual vortices in a zig-zag pattern around the pinned vortices.Since there is no dimer ordering for these fillings,no transverse response occurs for B/B φ<1.5.For B/B φ≥1.5,the interstitial vortices begin to form dimer states when two interstitial vortices are captured in a single large interstitial site.The dimers can lower their orientational energy by aligning with each other in both the ground state and the moving states.Dimers can only remain aligned in the moving state if they are channeling along one of the symmetry axes of the pin-ning lattice.If the dimers were to move strictly in the x -direction,they would be forced directly into the pinned vortex in the pinning site to the right of each large in-terstitial site.This would destabilize the rodlike dimers.Instead,the dimers maintain their integrity by moving along ±30◦to the x -axis.Within the moving state,if one of the dimers were to move along +30◦while the remain-ing dimers were moving along −30◦,the two interstitial vortices comprising the first dimer would be forced close6 together,destabilizing the dimer state due to the repul-sive vortex-vortex interactions.Instead,all of the dimersmove in the same direction.The SB-R transition occurs when the combined forceson the pinned vortices from the external drive and themoving dimers are strong enough to depin the pinnedvortices.At the closest approach in the x direction be-tween a dimer and a pinned vortex,the frontmost dimervortex is a distance a0/2from the pinned vortex andthe rear dimer vortex is a distance3a0from the pinnedvortex,where a o is the lattice constant of the undilutedtriangular pinning lattice.In addition to the force fromthe dimerized vortices,the pinned vortex experiences anopposing force from the neighboring pinned vortex a dis-tance a0away.In a simple approximation,the drivingforce needed to depin a vortex at a pinning site is thusF D=F p−[(K1(a0/2)+K1(3a0/2))−K1(a0)].Set-ting F p=0.85gives F D=0.41,close to the value ofF D=0.37for the SB-R transition in Fig.2.Once thepinned vortices depin,the system enters the random(R)phase,and since F D is still considerably less than F p,itis possible for vortices to be pinned temporarily in phaseR.Studies of square pinning arrays have shown that after the onset of a random dynamical phase,the vortices can organize into a more ordered phase of solitonlike pulse motion along the pinning rows,followed by a phase in which all of the vortices channel along the pinning rows [33].At the transition to the one-dimensional pulse like motion,a larger fraction of the vortices are pinned com-pared to the random phase,so a drop in V x with in-creasing F D occurs,giving a negative differential con-ductivity.In the honeycomb pinning arrays for the pa-rameters we have chosen here,we do not observe one-dimensional pulse motion or negative differential con-ductivity for driving along the x-direction.For the one-dimensional pulse motion or the ML phase motion seen in Fig.3(e,f)to occur,the vortices must be moving at a sufficiently high velocity for the pinning sites to act like aflashing trough.When the vortices move along the pinning rows,the vortex lattice structure adopts a highly anisotropic configuration which would be unsta-ble at F D=0.During the period of time when a vor-tex passes through a pinning site,the vortex is pulled toward the center of the pinning row,which stabilizes the one-dimensional motion.When the vortex is mov-ing between the pinning sites,it can drift away from the one-dimensional path until it encounters another pinning site.In Ref.[33],it was shown that for square pinning arrays,increasing the pinning radius R p stabilized the one-dimensionalflow down to lower values of F D.In the honeycomb pinning array,the one-dimensionalflow is less stable due to the fact that the vortices must move over the much wider large interstitial site,giving the vortices more time to drift away from the pinning row.Since this means that a larger value of F D is required to stabilize the one-dimensional motion,it should be more difficult in general to observe the onset of one-dimensional soli-010002000ν10-610-410-2100102S(ν)020004000ν10-810-610-410-2100S(ν)05001000ν10-610-410-2100102S(ν)(a)(b)(c)FIG.5:The power spectra S(ν)of the x component of the velocity V x(t)for the three phases in Fig.4.(a)The SB phase at F D=0.25shows a pronounced narrow band noise signa-ture.(b)The R phase at F D=0.42has a broad band noise signature.(c)In the ML phase at F D=0.65,a number of different frequencies are present due to the fact that different rows of the vortices move at different velocities.tonlike motion or negative differential conductivity in the honeycomb pinning arrays than in the square pinning ar-rays.A.Fluctuations and Noise CharacteristicsIn order to characterize the moving phases more quan-titatively,in Fig.4we show time traces V x(t)and V y(t)of the vortex velocities atfixed F D for the different phases for the system in Fig.2.In the symmetry broken(SB) phase at F D=0.25,shown in Fig.4(a),V x is greater than |V y|by tan(30◦)or about1.7.Here both components of the velocity show a pronounced oscillation which arises when the interstitial vortices move in a coherent fashion over the periodic potential substrate created by the im-mobile vortices in the pinning sites.In Fig.5(a),we plot the corresponding power spectrum S(ν)of V x obtained fromS(ν)= V x(t)e−2πiνt dt 2.(4)。

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