Multidisciplinary design optimization with discrete and continuous variables of various uncertainties

被引：25
|
作者：
Zhang, Xudong [1 ]
Huang, Hong-Zhong [1 ]
Xu, Huanwei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2010年 / 42卷 / 04期
基金：
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词：
Multidisciplinary design optimization; Aleatory uncertainty; Epistemic uncertainty; Continuous/discrete variables; Random/Fuzzy Continuous/Discrete Variables Multidisciplinary Design Optimization (RFCDV-MDO); Sequential Optimization and Reliability Assessment (SORA);
D O I：
10.1007/s00158-010-0513-y
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
As a powerful design tool, Reliability BasedMultidisciplinary Design Optimization (RBMDO) has received increasing attention to satisfy the requirement for high reliability and safety in complex and coupled systems. In many practical engineering design problems, design variables may consist of both discrete and continuous variables. Moreover, both aleatory and epistemic uncertainties may exist. This paper proposes the formula of RFCDV (Random/Fuzzy Continuous/Discrete Variables)Multidisciplinary Design Optimization (RFCDV-MDO), uncertainty analysis for RFCDV-MDO, and a method of RFCDV-MDO within the framework of Sequential Optimization and Reliability Assessment (RFCDV-MDO-SORA) to solve RFCDVMDO problems. A mathematical problem and an engineering design problem are used to demonstrate the efficiency of the proposed method.
引用
收藏
页码：605 / 618
页数：14
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