Support vector machines-based pre-calculation error for structural reliability analysis
Author:
Funder
National Natural Science Foundation of China
Shanghai Sailing Program
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
https://link.springer.com/content/pdf/10.1007/s00366-023-01803-0.pdf
Reference42 articles.
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2. Zhang DQ, Zhang N, Ye N et al (2021) Hybrid learning algorithm of radial basis function networks for reliability analysis. IEEE Trans Reliab 70(3):887–900
3. Jensen HA, Mayorga F, Valdebenito MA (2015) Reliability sensitivity estimation of nonlinear structural systems under stochastic excitation: a simulation-based approach. Comput Methods Appl Mech Eng 289:1–23
4. Harbitz A (1986) An efficient sampling method for probability of failure calculation. Struct Saf 3(2):109–115
5. Dai HZ, Zhang H, Rasmussen KJR et al (2015) Wavelet density-based adaptive importance sampling method. Struct Saf 52:161–169
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