Isight官方培训教程-TaskPlan任务计划组件

Workshop 15
Task Plan
Introduction
This lab takes you through the process of configuring and running a Task Plan.
Takeoff - Aircraft Design Problem
New design requirements
Customer wants the optimized cargo aircraft design to be evaluated for reliability against some variation in cruising speed and payload weight.
Analyzing the aircraft requires
A takeoff and range calculations
Optimization
Monte Carlo simulation
To analyze this problem, we will apply optimization followed by Monte Carlo.
The focus of this lab is to add a Reliability Analysis to the optimized design. We’ll do this via the Task Plan feature.
Open one of the start files in C:\iSIGHT-FD Training\Labs\Takeoff – Workflow Task Plan directory. Double click on the Task component.
Select Execute the specified Task Plan.
Notice that the Optimization created in the previous lab is already available.
For this lab, we want to start with an optimization and then perform a Monte Carlo Simulation on the deterministic optimized point.
To do this, click on the MCS button in the Task Editor to create a Monte Carlo component.
Double click on Monte Carlo1 to configure it.
W15.4
On the General Tab of the MCS configuration, select Descriptive Sampling and use 100 points.
For Random Variable select the following parameters to be random variables wiuth a Normal distribution: CruiseVelocity Fixed Coeff of Variation = 0.02
PayloadWeight Fixed Standard Deviation = 500.0
Check the box to “update random variable mean values to current parameter values before execution”. This will allow the optimized PayloadWeight to be used as the mean value at runtime.
On the Responses tab, set the upper bound for TakeoffDist at 5000 and the lower bound for Range at 2000 and click OK.
Back on the Task Editor, select the Optimization and add it to the list of steps by clicking on the arrow as shown.
Then add the MonteCarlo to the list of steps.
Click OK on the Task Editor.
Run the model.
Evaluate the results of the Monte Carlo Simulation. Where do you go to find the calculated probability of satisfying each constraint? What probability values are returned for this problem?。