Reliability analysis approach for railway embankment slopes using response surface method based Monte Carlo simulation

被引：6
|
作者：
Kong, Dehui [1 ,2 ]
Luo, Qiang [1 ,2 ]
Zhang, Wensheng [1 ,2 ]
Jiang, Liangwei [1 ,2 ]
Zhang, Liang [1 ,2 ]
机构：
[1] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Peoples R China
[2] MOE Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China
来源：
GEOTECHNICAL AND GEOLOGICAL ENGINEERING | 2022年 / 40卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Reliability analysis; Slope stability; Response surface method; Monte Carlo simulation; PROBABILISTIC STABILITY ANALYSIS; SPATIAL VARIABILITY; FINITE-ELEMENT; SYSTEM RELIABILITY; REGRESSION; MODEL;
D O I：
10.1007/s10706-022-02168-9
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
The railway embankment slope is a complex open system including uncertainty of soil parameters. Considering the influencing factors with randomness, ambiguity and uncertainty, the reliability analysis of slope stability is often accompanied by an implicit state equation, subtle changes of the input variables may result in drastic changes to the slope stability. In this work, a coupled Markov chain model is used to describe the staggering occurrence of different geotechnical types. To further describe the inherent variability of soil parameters, a response surface method (RMS) based Monte Carlo simulation (MCS) is conducted to perform the reliability analysis. One case study is carried out using borehole data collected from Masao District in Yunnan, China. The results indicate the proposed RMS-based MCS approach could be utilized as a practical and efficient tool for the slope reliability analysis to address the system reliability analysis for complex slopes.
引用
收藏
页码：4529 / 4538
页数：10
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