首页|Hybrid response surface method for system reliability analysis of pile-reinforced slopes

Hybrid response surface method for system reliability analysis of pile-reinforced slopes

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To consider the complex soil-structure interaction in a pile-slope system,it is necessary to analyze the performance of pile-slope systems based on a three-dimensional(3D)numerical model.Reliability analysis of a pile-slope system based on 3D numerical modeling is very challenging because it is computationally expensive and the performance function of the pile failure mode is only defined in the safe domain of soil stability.In this paper,an efficient hybrid response surface method is suggested to study the system reliability of pile-reinforced slopes,where the support vector machine and the Kriging model are used to approximate performance functions of soil failure and pile failure,respectively.The versatility of the suggested method is illustrated in detail with an example.For the example examined in this paper,it is found that the pile failure can significantly contribute to system failure,and the rein-forcement ratio can effectively reduce the probability of pile failure.There exists a critical reinforcement ratio beyond which the system failure probability is not sensitive to the reinforcement ratio.The pile spacing affects both the probabilities of soil failure and pile failure of the pile-reinforced slope.There exists an optimal location and an optimal length for the stabilizing piles.

SlopePilesSystem reliabilitySupport vector machineOrdinary kriging

Xiangrui Duan、Jie Zhang、Leilei Liu、Jinzheng Hu、Yadong Xue

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Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education and Department of Geotechnical Engineering,Tongji University,Shanghai,200092,China

Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,School of Geosciences and Info-Physics,Central South University,Changsha,410083,China

This research was substantially supported by the National Natural Science Foundation of ChinaShuguang Program from Shanghai Education Development Foundation and Shanghai Municipal Education CommissionFundamental Research Funds for the Central Universities

4207230219SG19

2024

岩石力学与岩土工程学报(英文版)
中国科学院武汉岩土力学所中国岩石力学与工程学会武汉大学

岩石力学与岩土工程学报(英文版)

CSTPCD
影响因子:0.404
ISSN:1674-7755
年,卷(期):2024.16(9)