Perform RBDO using Monte Carlo simulation, surrogate modeling methods, and stochastic design sensitivity.
Perform inverse reliability analysis and RBDO using design sensitivity of performance measures provided by the simulation solver (or user).
Provide best fit distribution types and parameters based on the user provided input data. Reduce dimension of RBDO problems using efficient and effective variable screening method.
Generate response output distribution using Monte Carlo simulation and surrogate modeling methods.
Provide an optimum design which yields maximum robustness while satisfying target reliability of performance measures.
Provides user confidence in the RBDO optimum design that meets the target reliability in the presence of insufficient input data.