Sequential Optimization and Reliability Assessment for Multidisciplinary Systems Design
With higher reliability and safety requirements, reliability-based design has been increasingly applied in multidisciplinary design optimization (MDO). A direct integration of reliability-based design and MDO may present tremendous implementation and numerical difficulties. In this work, a methodology of sequential optimization and reliability assessment for MDO is proposed to improve the efficiency of reliability-based MDO. The central idea is to decouple the reliability analysis from MDO with sequential cycles of reliability analysis and deterministic MDO. The reliability analysis is based on the first-order reliability method (FORM). In the proposed method, the reliability analysis and the deterministic MDO use two MDO strategies, the multidisciplinary feasible approach and the individual disciplinary feasible approach. The effectiveness of the proposed method is illustrated with two example problems.
X. Du et al., "Sequential Optimization and Reliability Assessment for Multidisciplinary Systems Design," Structural and Multidisciplinary Optimization, Springer Verlag, Feb 2008.
The definitive version is available at https://doi.org/10.1007/s00158-007-0121-7
Mechanical and Aerospace Engineering
National Science Foundation (U.S.)
University of Missouri--Rolla. Intelligent Systems Center
University of Missouri Research Board
Keywords and Phrases
Most Probable Point; Reliability Analysis; Reliability-Based Design; Multidisciplinary design optimization
International Standard Serial Number (ISSN)
Article - Journal
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