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An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis

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  • Luo, Changqi
  • Zhu, Shun-Peng
  • Keshtegar, Behrooz
  • Niu, Xiaopeng
  • Taylan, Osman

Abstract

For structural reliability analysis with low failure probability, traditional simulation methods are time consuming approaches, which is a great challenge for estimating the failure probability. In this paper, a novel hybrid enhanced sampling method named as enhanced uniform importance sampling coupled with support vector regression (EUIS-SVR) is proposed. In EUIS-SVR, the samples are simulated by inter-cell with a lower assumed failure interval compared to traditional uniform importance sampling method. Then by approximating a general failure scaling formula, a quasi-linear interval is selected for estimating the failure probability using support vector regression model. Six numerical and engineering cases are studied for showing the abilities for accuracy and efficiency of proposed method compared to simulation reliability methods. The proposed EUIS-SVR method was found more efficient than existing simulation methods.

Suggested Citation

  • Luo, Changqi & Zhu, Shun-Peng & Keshtegar, Behrooz & Niu, Xiaopeng & Taylan, Osman, 2023. "An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:reensy:v:237:y:2023:i:c:s0951832023002910
    DOI: 10.1016/j.ress.2023.109377
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    3. Teng, Da & Feng, Yun-Wen & Lu, Cheng & Liu, Jia-Qi & Chen, Jun-Yu, 2024. "Vectorial generative adversarial surrogate modeling reliability evaluation framework for engineering structural systems," Reliability Engineering and System Safety, Elsevier, vol. 247(C).

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