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一种高效的基于可靠性的多学科设计优化方法(英文)
引用本文:Fan Hui*,Li Weiji School of Aeronautics,Northwestern Polytechnical University,Xi’an ,China.一种高效的基于可靠性的多学科设计优化方法(英文)[J].中国航空学报,2008,21(4):335-340.
作者姓名:Fan Hui*  Li Weiji School of Aeronautics  Northwestern Polytechnical University  Xi’an  China
作者单位:School of Aeronautics, Northwestern Polytechnical University, Xi 'an 710072, China
摘    要:Design for modem engineering system is becoming multidisciplinary and incorporates practical uncertainties; therefore, it is necessary to synthesize reliability analysis and the multidisciplinary design optimization (MDO) techniques for the design of complex engineering system. An advanced first order second moment method-based concurrent subspace optimization approach is proposed based on the comparison and analysis of the existing multidisciplinary optimization techniques and the reliability analysis methods. It is seen through a canard configuration optimization for a three-surface transport that the proposed method is computationally efficient and practical with the least modification to the current deterministic optimization process.

关 键 词:多学科设计最优化  同时子空间最优化  可靠性分析  飞机设计
收稿时间:8 October 2007

An Efficient Method for Reliability-based Multidisciplinary Design Optimization
Fan Hui,Li Weiji.An Efficient Method for Reliability-based Multidisciplinary Design Optimization[J].Chinese Journal of Aeronautics,2008,21(4):335-340.
Authors:Fan Hui  Li Weiji
Institution:School of Aeronautics, Northwestern Polytechnical University, Xi 'an 710072, China
Abstract:Design for modern engineering system is becoming multidisciplinary and incorporates practical uncertainties; therefore, it is nec- essary to synthesize reliability analysis and the multidisciplinary design optimization (MDO) techniques for the design of complex engi- neering system. An advanced first order second moment method-based concurrent subspace optimization approach is proposed based on the comparison and analysis of the existing multidisciplinary optimization techniques and the reliability analysis methods. It is seen through a canard configuration optimization for a three-surface transport that the proposed method is computationally efficient and prac- tical with the least modification to the current deterministic optimization process.
Keywords:multidisciplinary design optimization (MDO)  concurrent subspace optimization  reliability analysis  advanced first order second moment method
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