Probabilistic Analysis and Optimization

This component can be used to perform probabilistic analysis and optimization. A deterministic analysis (or any subflow) can be easily converted to probabilistic analysis by wrapping it inside a probabilistic component. This component adds uncertainties to the selected inputs and all the responses. The user can perform various kinds of non-deterministic analyses such as reliability-based optimization, robust optimization, n-sigma design, etc.

Probabilistic Modeling

The following sampling techniques are available:

• Direct Monte Carlo Sampling
• Latin Hypercube Sampling
• Mean Value Approximation Method
• Approximate Direct Monte Carlo Sampling
• Approximate Latin Hypercube Sampling