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Engineering Optimization Volume 53, 2021 - Issue 9
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Original Articles

An efficient dimensionality-independent algorithm for failure probability-based global sensitivity analysis by dual-stage adaptive kriging model

Wanying Yuna School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, People’s Republic of China;b School of Aeronautics, Northwestern Polytechnical University, Xi’an, People’s Republic of ChinaCorrespondence[email protected]
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,
Zhenzhou Lub School of Aeronautics, Northwestern Polytechnical University, Xi’an, People’s Republic of ChinaView further author information
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Xian Jiangc Aircraft Flight Test Technology Institute, Chinese Flight Test Establishment, Xi’an, People’s Republic of ChinaView further author information
&
Pengfei Hea School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
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Pages 1613-1631 | Received 02 Apr 2020, Accepted 20 Aug 2020, Published online: 04 Oct 2020

Citations (3)

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Read on this site (1)

Xufeng Yang, Xin Cheng, Zeqing Liu & Tai Wang. (2022) An adaptive method fusing the kriging model and multimodal importance sampling for profust reliability analysis. Engineering Optimization 54:11, pages 1870-1886.
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Articles from other publishers (2)

Yilong Jia, Jinhua Mi, Dong Sun, Libing Bai & Kai Chen. (2022) Reliability analysis of systems with mixed uncertainties based on Bhattacharyya distance and Bayesian network. Quality and Reliability Engineering International 38:7, pages 3741-3754.
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Zdeněk Kala. (2021) New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability. Mathematics 9:19, pages 2425.
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