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| Keywords | |
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slope reliability analysis |
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high-dimension |
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sparse grid |
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Monte Carlo simulation |
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| PubMed | |
Slope reliability analysis based on Monte Carlo simulation and sparse grid method
WU Guoxue1, PENG Yijin1, LIU Xuesong1, HU Tao2, WU Hao2
1. College of Earth Sciences, Jilin University, Changchun 130026, China;
2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
In order to solve the problem of the reliability of slope engineering due to complex uncertainties, the Monte Carlo simulation method is adopted. Based on the characteristics of sparse grid, an interpolation algorithm, which can be applied to high dimensional problems, is introduced. A surrogate model of high dimensional implicit function is established, which makes Monte Carlo method more adaptable. Finally, a reliability analysis method is proposed to evaluate the reliability of the slope engineering, and is applied in the Sau Mau Ping slope project in Hong Kong. The reliability analysis method has great theoretical and practical significance for engineering quality evaluation and natural disaster assessment.