Stochastic Analysis

Direct Monte Carlo Investigations

Estimation of Mean, Std. Deviation
Correlation Analysis
Confidence Intervals
Outlier Analysis

Distribution Functions

Normal , Uniform, Lognormal, Weibull, Beta, Binomial
User-Defined

Reliability studies

Determination of failure probability
Methods: FOSM, FORM

Improvement of numerical efficiency using meta models

Meta-Model based Monte Carlo Simulations
Stochastic contribution analysis
Polynomial response surfaces (linear, quadratic)
Feed Forward Neural Networks, Radial Basis Function (RBF)

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