Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties
Joint Authors
Xu, Huanwei
Wang, Xin
Li, Wei
Li, Mufeng
Zhang, Suichuan
Hu, Cong
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xu, Huanwei& Wang, Xin& Li, Wei& Li, Mufeng& Zhang, Suichuan& Hu, Cong. 2017. Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191810
Modern Language Association (MLA)
Xu, Huanwei…[et al.]. Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1191810
American Medical Association (AMA)
Xu, Huanwei& Wang, Xin& Li, Wei& Li, Mufeng& Zhang, Suichuan& Hu, Cong. Reliability-Based Multidisciplinary Design Optimization under Correlated Uncertainties. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191810