- Info
Robustness Analysis
Stochastic methods and features for robustness analysis are implemented in LS-OPT.
| | Monte Carlo Investigations - Direct and metamodel based
- Estimation of Mean, Std. Deviation
- Correlation Analysis
- Confidence Intervals
- Outlier Analysis
- Stochastic contribution analysis
Reliability studies - Determination of failure probability
- Methods: FOSM, FORM
Reliability Based Design Optimization - Optimization that directly accounts for the variability and the probability of failure
Robust Design Optimization - Optimizing design and robustness simultanously
Visualization of statistical results on the FE-Model (DYNAstats) - Fringe of mean and standard deviation on the FE-model utilizing LS-PrePost
- Display of variation of element results such as stress, thinning, plastic strain...
- Correlation of node displacements with respect to any response
- Statistics of time history curves
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Examples: | |
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