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• W2294495018 abstract "Monte-Carlo Simulation (MCS) is a powerful tool in solving reliability problems. However, it is time-consuming use for the complex structural engineering problems. Another commonly used method, First-Order Second Moment Method (FOSM) usually requires the values and derivatives of limit state function. This paper presents two types of Least Square Support Vector Machine (LS-SVM) based reliability analysis methods, i.e. LS-SVM-based MCS and LS-SVM-based FOSM. In the first method, LS-SVM is adopted to replace the limit state function and enhance the efficiency of computing. In the second method, LS-SVM is adopted to approximate the limit state function and its partial derivatives which FOSM requires. Thus, based on the LS-SVM, both methods are substantially improved in efficiency. To assess the validity of this methodology, three structural examples are studied and discussed. The results prove that the LS-SVM based new methods are effective in structural reliability analysis problems involving the implicit limit state function." @default.
• W2294495018 created "2016-06-24" @default.
• W2294495018 creator A5017474905 @default.
• W2294495018 creator A5086466347 @default.
• W2294495018 date "2016-01-01" @default.
• W2294495018 modified "2023-10-16" @default.
• W2294495018 title "Least square support vector machine for structural reliability analysis" @default.
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• W2294495018 doi "https://doi.org/10.1504/ijcat.2016.073610" @default.
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