HyperStudy

Stochastic Approach Basics

Stochastic Approach Basics

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Stochastic Approach Basics

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Uncertainty is inevitable in any system.  Uncertainty in a system could be due to any or all of the following factors:

•Loading conditions
•Boundary and initial conditions
•Material properties
•Geometry
•Conceptual modeling
•Mathematical modeling

Stochastic approach is used to study the influence of these uncertainties on the design.  Monte Carlo and Quasi-Monte Carlo methods are used to do this.

The stochastic analysis can be performed using the analysis solver directly or using a fitting function (approximation, response surface).

A stochastic approach can be copied into another (new) Stochastic approach.  All settings are copied, but the files that might have been created (solver runs, results) are not copied.  A stochastic approach can also be removed; upon removal of an approach, all files can be deleted from the study folder (prompts are provided).

flo_sto1

 

 

 

 

 

flo_sto2a

Stochastic study using the analysis solver directly

Stochastic study using an approximation from the Fit Approach

The steps to set up a Stochastic approach in HyperStudy are:

•Select Input Variables
•Select Output Responses
•Specifications
•Evaluate
•Post-Processing
•Report