Article ID: | iaor20081562 |
Country: | Netherlands |
Volume: | 8 |
Issue: | 1 |
Start Page Number: | 21 |
End Page Number: | 42 |
Publication Date: | Mar 2007 |
Journal: | Optimization and Engineering |
Authors: | Mahadevan Sankaran, Chiralaksanakul Anukal |
Keywords: | engineering, programming: probabilistic |
We propose solution methods for multidisciplinary design optimization (MDO) under uncertainty. This is a class of stochastic optimization problems that engineers are often faced with in a realistic design process of complex systems. Our approach integrates solution methods for reliability-based design optimization (RBDO) with solution methods for deterministic MDO problems. The integration is enabled by the use of a deterministic equivalent formulation and the first order Taylor's approximation in these RBDO methods. We discuss three specific combinations: the RBDO methods with the multidisciplinary feasibility method, the all-at-once method, and the individual disciplinary feasibility method. Numerical examples are provided to demonstrate the procedure.