Hybrid active learning method for non-probabilistic reliability analysis with multi-super-ellipsoidal model
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DOI: 10.1016/j.ress.2022.108414
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References listed on IDEAS
- Chang, Qi & Zhou, Changcong & Wei, Pengfei & Zhang, Yishang & Yue, Zhufeng, 2021. "A new non-probabilistic time-dependent reliability model for mechanisms with interval uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
- Mara, Thierry A. & Becker, William E., 2021. "Polynomial chaos expansion for sensitivity analysis of model output with dependent inputs," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
- Keshtegar, Behrooz & Kisi, Ozgur, 2018. "RM5Tree: Radial basis M5 model tree for accurate structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 49-61.
- Lei Wang & Xiaojun Wang & Ruixing Wang & Xiao Chen, 2015. "Time-Dependent Reliability Modeling and Analysis Method for Mechanics Based on Convex Process," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-16, June.
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Cited by:
- Guo, Tiexin & Wang, Hongji & Li, Jinglai & Wang, Hongqiao, 2024. "Sampling-based adaptive design strategy for failure probability estimation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Zhang, Kun & Chen, Ning & Zeng, Peng & Liu, Jian & Beer, Michael, 2022. "An efficient reliability analysis method for structures with hybrid time-dependent uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
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Keywords
Non-probabilistic reliability analysis; multi-super-ellipsoidal model; hybrid active learning method; Kriging model;All these keywords.
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