Sequential Optimization and Mixed Uncertainty Analysis Method for Reliability-Based Optimization
Sequential Optimization and Mixed Uncertainty Analysis Method for Reliability-Based Optimization
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基于可靠性优化的序贯优化和混合不确定性分析方法
DOI：
10.2514/1.j052327
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发表时间：
2013-08
期刊：
影响因子：
2.5
通讯作者：
Michel van Tooren
中科院分区：
文献类型：
--
作者：
Xiaoqian Chen;Yiyong Huang;Zafer Gurdal;Michel van Tooren
研究了一种基于随机不确定性和认知不确定性的可靠性优化方法。采用概率与证据相结合的方法对混合不确定性进行了分析。如果将混合不确定性分析直接嵌入到基于可靠性的优化中，以量化每个搜索点的不确定性特征，将在计算上令人望而却步。为了解决这一问题，提出了一种顺序优化和混合不确定性分析方法，将基于可靠性的优化问题分解为单独的确定性优化和混合不确定性分析子问题，依次交替求解，直至收敛。研究的重点是如何根据不确定性分析中得到的信息，将基于可靠性的优化问题转化为其准等价的确定性形式。提出先将总可靠性目标分解为认知不确定性的各个焦点元素，以模拟系统的可靠性。
A reliability-based optimization method under both aleatory and epistemic uncertainties is studied. The mixed uncertainties are analyzed by combined probability and evidence theory. If the mixed uncertainty analysis is directly embedded in reliability-based optimization to quantify the uncertain features of each search point, it would be computationally prohibitive. To address this problem, a sequential optimization and mixed uncertainty analysis method is proposed to decompose the reliability-based optimization problem into separate deterministic optimization and mixed uncertainty analysis subproblems, which are solved sequentially and alternately until convergence is achieved. The research focus is how to transform the reliability-based optimization problem into its quasi-equivalent deterministic formulation according to the information obtained in the uncertainty analysis. It is proposed to first decompose the total reliability target into each focal element of the epistemic uncertainties, so as to sim...
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影响因子：
5.8
作者：
Yan-Gang Zhao;T. Ono
通讯作者：
Yan-Gang Zhao;T. Ono
影响因子：
8.1
作者：
J. C. Helton;D. Burmaster
通讯作者：
J. C. Helton;D. Burmaster
影响因子：
3.3
作者：
B. Youn;K. Choi;Liu Du;D. Gorsich
通讯作者：
B. Youn;K. Choi;Liu Du;D. Gorsich
DOI：
--
发表时间：
2002
期刊：
--
影响因子：
--
作者：
Aiaa;Asme;Asce;Ahs Adaptive Structures Forum;Aiaa Non-Deterministic Approaches Forum;Aiaa Gossamer Spacecraft Forum-Aiaa-Goss
通讯作者：
Aiaa;Asme;Asce;Ahs Adaptive Structures Forum;Aiaa Non-Deterministic Approaches Forum;Aiaa Gossamer Spacecraft Forum-Aiaa-Goss
影响因子：
5.8
作者：
R. Rackwitz
通讯作者：
R. Rackwitz