Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
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Publication:2060129
DOI10.1016/j.cma.2021.114218OpenAlexW3209199687MaRDI QIDQ2060129
Changqi Luo, Osman Taylan, Behrooz Keshtegar, Xiao-Peng Niu, Shun-Peng Zhu
Publication date: 13 December 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2021.114218
artificial neural networkstructural reliabilitymachine learning methodenhanced Monte Carlo simulation
Related Items (6)
Hybrid and enhanced PSO: novel first order reliability method-based hybrid intelligent approaches ⋮ SS-MASVM: an advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine ⋮ EMR-SSM: synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation ⋮ EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis ⋮ Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces ⋮ A first order reliability method based on hybrid conjugate approach with adaptive Barzilai-Borwein steps
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