Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties

Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties

Complex mechanical system is usually composed of several subsystems, which are often coupled with each other. Reliability-based multidisciplinary design optimization (RBMDO) is an efficient method to design such complex system under uncertainties. However, the present RBMDO methods ignored the corre...

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Main Authors: Huanwei Xu, Xin Wang, Wei Li, Mufeng Li, Suichuan Zhang, Cong Hu
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/7360615
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spelling doaj-830165a1a69c478895f7543828367d9e2020-11-25T00:31:03ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/73606157360615Reliability-Based Multidisciplinary Design Optimization under Correlated UncertaintiesHuanwei Xu0Xin Wang1Wei Li2Mufeng Li3Suichuan Zhang4Cong Hu5School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaSchool of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaComplex mechanical system is usually composed of several subsystems, which are often coupled with each other. Reliability-based multidisciplinary design optimization (RBMDO) is an efficient method to design such complex system under uncertainties. However, the present RBMDO methods ignored the correlations between uncertainties. In this paper, through combining the ellipsoidal set theory and first-order reliability method (FORM) for multidisciplinary design optimization (MDO), characteristics of correlated uncertainties are investigated. Furthermore, to improve computational efficiency, the sequential optimization and reliability assessment (SORA) strategy is utilized to obtain the optimization result. Both a mathematical example and a case study of an engineering system are provided to illustrate the feasibility and validity of the proposed method.http://dx.doi.org/10.1155/2017/7360615
collection DOAJ
language English
format Article
sources DOAJ
author Huanwei Xu
Xin Wang
Wei Li
Mufeng Li
Suichuan Zhang
Cong Hu
spellingShingle Huanwei Xu
Xin Wang
Wei Li
Mufeng Li
Suichuan Zhang
Cong Hu
Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
Mathematical Problems in Engineering
author_facet Huanwei Xu
Xin Wang
Wei Li
Mufeng Li
Suichuan Zhang
Cong Hu
author_sort Huanwei Xu
title Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
title_short Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
title_full Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
title_fullStr Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
title_full_unstemmed Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
title_sort reliability-based multidisciplinary design optimization under correlated uncertainties
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description Complex mechanical system is usually composed of several subsystems, which are often coupled with each other. Reliability-based multidisciplinary design optimization (RBMDO) is an efficient method to design such complex system under uncertainties. However, the present RBMDO methods ignored the correlations between uncertainties. In this paper, through combining the ellipsoidal set theory and first-order reliability method (FORM) for multidisciplinary design optimization (MDO), characteristics of correlated uncertainties are investigated. Furthermore, to improve computational efficiency, the sequential optimization and reliability assessment (SORA) strategy is utilized to obtain the optimization result. Both a mathematical example and a case study of an engineering system are provided to illustrate the feasibility and validity of the proposed method.
url http://dx.doi.org/10.1155/2017/7360615
work_keys_str_mv AT huanweixu reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
AT xinwang reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
AT weili reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
AT mufengli reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
AT suichuanzhang reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
AT conghu reliabilitybasedmultidisciplinarydesignoptimizationundercorrelateduncertainties
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