Methods of CAE-based Robust Design Optimization (RDO)

The goal of CAE-based optimization in virtual prototyping is often to achieve an optimal product performance with a minimal usage of resources (e.g. material, energy). This pushes designs to the boundaries of tolerable stresses, deformations or other critical responses. As a result, the product behavior may become sensitive to scatter with regard to material, geometric or environmental conditions. Subsequently, a robustness evaluation has to be implemented in the optimization process leading to a Robust Design Optimization (RDO) strategy that consists of:

As a final step, a reliability analysis allows a necessary verification of small probabilities of failure after the conduction of a robustness evaluation or Robust Design Optimization (RDO).

Regarding the procedure of parameter identification, also named model update, a sensitivity analysis helps to identify parameters of CAE models suitable for the best possible calibration with test results.



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