Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters | |
Wang RX(王睿星)2,3; Luo Y1![]() | |
Corresponding Author | Luo, Yan([email protected]) |
Source Publication | APPLIED MATHEMATICAL MODELLING
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2019-11-01 | |
Volume | 75Pages:349-370 |
ISSN | 0307-904X |
Abstract | Non-probabilistic reliability based multidisciplinary design optimization has been widely acknowledged as an advanced methodology for complex system design when the data is insufficient. In this work, the uncertainty propagation analysis method in multidisciplinary system based on subinterval theory is firstly studied to obtain the uncertain responses. Then, based on the non-probabilistic set theory, the interval reliability based multidisciplinary design optimization model is established. Considering that the gradient information of interval reliability cannot be acquired in the whole design domain, which causes convergence difficulties and prohibitive computation, an interval reliability displacement based multidisciplinary design optimization method is proposed to address the issue. In the proposed method, the interval reliability displacement is introduced to measure the degree of interval reliability. By doing so, not only the connotation of the interval reliability is guaranteed, but more importantly, the partial gradient region for interval reliability is equivalently converted into full gradient region for reliability displacement. Consequently, the gradient information can be acquired under any circumstances and thus the convergence process is highly accelerated by utilizing the gradient optimization algorithms. (C) 2019 Elsevier Inc. All rights reserved. |
Keyword | Multidisciplinary design optimization Non-probabilistic reliability Uncertainty propagation analysis Gradient information Interval reliability displacement |
DOI | 10.1016/j.apm.2019.05.030 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:000486102700020 |
WOS Keyword | NUMBER PROGRAMMING METHOD ; TOPOLOGY OPTIMIZATION ; CONVEX MODEL ; UNCERTAINTY ; ROBUST |
WOS Research Area | Engineering ; Mathematics ; Mechanics |
WOS Subject | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics |
Funding Project | National Natural Science Foundation of China[91016025] ; National Natural Science Foundation of China[11472276] ; National Natural Science Foundation of China[11332011] ; Fundamental Research Funds for the Central Universities[ZY1814] ; National Defense Basic Scientific Research program of China[JCKY2016130B009] |
Funding Organization | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; National Defense Basic Scientific Research program of China |
Classification | 二类/Q1 |
Ranking | 1 |
Contributor | Luo, Yan |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/80616 |
Collection | 流固耦合系统力学重点实验室 |
Affiliation | 1.Beijing Univ Chem Technol, Sch Mech & Elect Engn, Beijing 100029, Peoples R China; 2.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
Recommended Citation GB/T 7714 | Wang RX,Luo Y. Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters[J]. APPLIED MATHEMATICAL MODELLING,2019,75:349-370.Rp_Au:Luo, Yan |
APA | 王睿星,&Luo Y.(2019).Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters.APPLIED MATHEMATICAL MODELLING,75,349-370. |
MLA | 王睿星,et al."Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters".APPLIED MATHEMATICAL MODELLING 75(2019):349-370. |
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