In structural reliability analysis, it is a major challenge to develop a general method that can ensure high computational accuracy and low computational cost for low failure probability and high-dimensional problems. In this study, a novel enhanced simulation method termed enhanced soft Monte Carlo simulation coupled with support vector regression (EMCS-SVR) is proposed. First, a generalized enhanced simulation (ES) scaling formula is proposed as an improved scheme. Furthermore, the soft Monte Carlo simulation is combined with generalized ES scaling formula and SVR model for evaluating the failure probability. The efficiency and accuracy of the ESMCS-SVR are verified by comparing with an existing popular method in four numerical examples and three engineering examples.
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1 October 2025
Research Article|
December 11 2024
Enhanced soft Monte Carlo simulation coupled with support vector regression for structural reliability analysis
Shiyuan Yang;
Shiyuan Yang
INEGI, Faculty of Engineering,
University of Porto
, Porto, Portugal
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Debiao Meng;
School of Mechanical and Electrical Engineering,
University of Electronic Science and Technology of China
, Chengdu, China
; Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, PR ChinaCorresponding author Debiao Meng (dbmeng@uestc.edu.cn)
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Hengfei Yang;
Hengfei Yang
School of Mechanical and Electrical Engineering,
University of Electronic Science and Technology of China
, Chengdu, China
; Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, PR China
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Changqi Luo;
Changqi Luo
School of Mechanical and Electrical Engineering,
University of Electronic Science and Technology of China
, Chengdu, PR China
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Xiaoyan Su
Xiaoyan Su
School of Automation Engineering,
Shanghai University of Electric Power
, Shanghai, PR China
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Corresponding author Debiao Meng (dbmeng@uestc.edu.cn)
Publisher: Emerald Publishing
Received:
October 22 2024
Accepted:
December 04 2024
Online ISSN: 1751-7710
Print ISSN: 0965-092X
Funding
Funding Group:
- Award Group:
- Funder(s): Guangdong Basic and Applied Basic Research Foundation
- Award Id(s): 2024A1515240025
- Funder(s):
- Award Group:
- Funder(s): China Scholarship Council
- Award Id(s): 202406070025,202406070043
- Funder(s):
- Funding Statement(s): This research was funded by the Guangdong Basic and Applied Basic Research Foundation (no. 2024A1515240025) and the China Scholarship Council (no. 202406070025 and 202406070043).
© 2025 Emerald Publishing Limited
2025
Emerald Publishing Limited
Licensed re-use rights only
Proceedings of the Institution of Civil Engineers - Transport (2025) 178 (7): 459–474.
Article history
Received:
October 22 2024
Accepted:
December 04 2024
Citation
Yang S, Meng D, Yang H, Luo C, Su X (2025), "Enhanced soft Monte Carlo simulation coupled with support vector regression for structural reliability analysis". Proceedings of the Institution of Civil Engineers - Transport, Vol. 178 No. 7 pp. 459–474, doi: https://doi.org/10.1680/jtran.24.00128
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