The conventional reliability-based design optimization (RBDO) methods assume that a
simulation model is able to represent the real physics accurately. However, this assumption
may not always hold as the simulation model could be biased. Accordingly, designed
product based on the conventional RBDO optimum may either not satisfy the target reliability
or be overly conservative design. Therefore, simulation model validation using output
experimental data, which corrects model bias, should be integrated in the RBDO process …

The conventional reliability-based design optimization (RBDO) methods assume that a
simulation model is able to represent the real physics accurately. However, the simulation
model could be biased. Accordingly, when the conventional RBDO design is manufactured,
the product may not satisfy the target reliability. Therefore, model validation, which corrects
model bias, should be integrated in the RBDO process by incorporating experimental data.
The challenge is that only a limited number of experimental data is usually available due to …