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Multidisciplinary Inverse Reliability Analysis Based on Collaborative Optimization with Combination of Linear Approximations
Joint Authors
Meng, Xin-Jia
Jing, Shi-Kai
Wang, Ye-Dong
Zhou, Jing-Tao
Zhang, Li-Xiang
Liu, Ji-Hong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Multidisciplinary reliability is an important part of the reliability-based multidisciplinary design optimization (RBMDO).
However, it usually has a considerable amount of calculation.
The purpose of this paper is to improve the computational efficiency of multidisciplinary inverse reliability analysis.
A multidisciplinary inverse reliability analysis method based on collaborative optimization with combination of linear approximations (CLA-CO) is proposed in this paper.
In the proposed method, the multidisciplinary reliability assessment problem is first transformed into a problem of most probable failure point (MPP) search of inverse reliability, and then the process of searching for MPP of multidisciplinary inverse reliability is performed based on the framework of CLA-CO.
This method improves the MPP searching process through two elements.
One is treating the discipline analyses as the equality constraints in the subsystem optimization, and the other is using linear approximations corresponding to subsystem responses as the replacement of the consistency equality constraint in system optimization.
With these two elements, the proposed method realizes the parallel analysis of each discipline, and it also has a higher computational efficiency.
Additionally, there are no difficulties in applying the proposed method to problems with nonnormal distribution variables.
One mathematical test problem and an electronic packaging problem are used to demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Meng, Xin-Jia& Jing, Shi-Kai& Wang, Ye-Dong& Zhou, Jing-Tao& Zhang, Li-Xiang& Liu, Ji-Hong. 2015. Multidisciplinary Inverse Reliability Analysis Based on Collaborative Optimization with Combination of Linear Approximations. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075208
Modern Language Association (MLA)
Meng, Xin-Jia…[et al.]. Multidisciplinary Inverse Reliability Analysis Based on Collaborative Optimization with Combination of Linear Approximations. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1075208
American Medical Association (AMA)
Meng, Xin-Jia& Jing, Shi-Kai& Wang, Ye-Dong& Zhou, Jing-Tao& Zhang, Li-Xiang& Liu, Ji-Hong. Multidisciplinary Inverse Reliability Analysis Based on Collaborative Optimization with Combination of Linear Approximations. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075208
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075208