Variance-based reliability sensitivity analysis and the FORM α-factors
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DOI: 10.1016/j.ress.2021.107496
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References listed on IDEAS
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Cited by:
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- Qin, Xia & Kaewunruen, Sakdirat, 2024. "Machine learning and traditional approaches in shear reliability of steel fiber reinforced concrete beams," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Yao, Wen & Zheng, Xiaohu & Zhang, Jun & Wang, Ning & Tang, Guijian, 2023. "Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
- Shang, Yue & Nogal, Maria & Teixeira, Rui & Wolfert, A.R. (Rogier) M., 2024. "Extreme-oriented sensitivity analysis using sparse polynomial chaos expansion. Application to train–track–bridge systems," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Zhao, Zhao & Lu, Zhao-Hui & Zhao, Yan-Gang, 2024. "A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Zhang, Feng & Wang, Xinhe & Hou, Xinting & Han, Cheng & Wu, Mingying & Liu, Zhongbing, 2022. "Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system," Applied Energy, Elsevier, vol. 307(C).
- Zha, Congyi & Pan, Chenrong & Sun, Zhili & Liu, Qin, 2024. "A single-loop reliability sensitivity analysis strategy for time-dependent rare events with both random variables and stochastic processes," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
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Keywords
Reliability analysis; Sensitivity analysis; α-factors; FORM;All these keywords.
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