About the SDI Component

Stochastic Design Improvement (SDI) is a Monte Carlo simulation-based iterative procedure for improving a design.

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About the SDI Results Aggregate Parameter

At each iteration step in the SDI component, a Monte Carlo sample including design variables (controllable) and random variables (not controllable) is taken and an improved design is chosen from the Monte Carlo “cloud” of points. The improved design is chosen based on defined response targets, with a penalty associated with the violation of defined response limits. The number of iterative steps is pre-specified, with a “termination threshold distance” allowing early termination if the new design is within a threshold distance of the target.

Upon execution in the Runtime Gateway, Isight automatically creates an SDI Results aggregate parameter containing basic results (see About the SDI Results Aggregate Parameter).

The following figure shows the SDI Component Editor:



To start the SDI Component Editor, double-click the SDI component icon . When you have finished configuring the SDI Component Editor, click OK to close the editor. For more information about inserting components and accessing component editors, see Working with Components in the Isight User’s Guide.