Decoupled approach to multidisciplinary design optimization under uncertainty

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• 作者：Anukal Chiralaksanakul and Sankaran Mahadevan
• 关键词：Multidisciplinary systems ; Reliability ; Design optimization ; Stochastic optimization ; Chance ; constrained programming
• 刊名：Optimization and Engineering
• 出版年：2007
• 出版时间：March, 2007
• 年：2007
• 卷：8
• 期：1
• 页码：21-42
• 全文大小：906 KB

文摘

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.