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vk.com/club152685050Probabi istic Design | vk.com/id446425943

GUI: Main Menu> Prob Design> Prob Definitns> Random Output

1.3.8. Select a Probabilistic Design Method

In the Probabilistic Design System, several probabilistic design methods are available.

You can select one of two primary methods, the Monte Carlo Simulation (default) or the Response Surface Method.

Options under the Monte Carlo Simulation method include the Latin Hypercube Sampling method (default) and the Direct Monte Carlo Sampling method.

Options under the Response Surface Method include the Central Composite Design and the Box-Behnken Matrix Design method.

Both the Monte Carlo Simulation and the Response Surface Methods allow a user-defined option. See the PDDMCS, PDLHS, and the PDDOEL, commands or Probabilistic Design Techniques (p. 51) for further details about these methods.

To specify a method to be used for probabilistic design looping:

Command(s): PDMETH

GUI: Main Menu> Prob Design> Prob Method> Monte Carlo Sims

Main Menu> Prob Design> Prob Method> Response Surface

Note

To use Response Surface Methods, the random output parameters must be smooth and continuous functions of the involved random input variables. Do not use Response Surface Methods if this condition is not satisfied.

1.3.8.1. Probabilistic Method Determination Wizard

You can use the Probabilistic Method Determination Wizard to find the fastest method for solving your probabilistic analysis. You should have completed one analysis prior to starting the wizard.

Use Main Menu> Prob Design> Prob Method> Methods Wizard to access the wizard. Answer the questions on the screens as they are presented. Before you start the wizard, you should know:

How long did it take to run the analysis file (hours, minutes, seconds)? Or, you should give an estimation of the time it will take if you haven't run the analysis yet.

How many CPUs are available to run the probabilistic analysis (if running parallel processing)?

Is your output parameter a smooth/continuous function of the input parameters?

What results are you interested in evaluating? Options are mean values, standard deviation, sensitivities, or acceptable part failures.

Below is one of the wizard screens, as an example.

 

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