Reliability analysis of slope and random response of anti-sliding pile considering spatial variability of rock mass properties

ZHANG Wen-gang; WANG Qi; CHEN Fu-yong; CHEN Long-long; WANG Lu-qi; WANG Lin; ZHANG Yan-mei; WANG Yu-qi; ZHU Xing

doi:10.16285/j.rsm.2021.0464

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Reliability analysis of slope and random response of anti-sliding pile considering spatial variability of rock mass properties

更新时间：2026-06-25

- Reliability analysis of slope and random response of anti-sliding pile considering spatial variability of rock mass properties
- Vol. 42, Issue 11, Pages: 3157-3168(2021)
- 作者机构：
  
  1. 重庆大学山地城镇建设与新技术教育部重点实验室,重庆,400045
  2. 重庆大学土木工程学院,重庆,400045
  3. 重庆大学库区环境地质灾害防治国家地方联合工程研究中心,重庆,400045
  4. 重庆大学航天航空学院,重庆,400044
  5. 中铁十九局集团第六工程有限公司,江苏,无锡,214028
  6. 成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川,成都,610059
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2021.0464
  CLC： TU45
- Online First：12 November 2021，
  
  Published：2021
- 稿件说明：
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ZHANG Wen-gang, WANG Qi, CHEN Fu-yong, et al. Reliability analysis of slope and random response of anti-sliding pile considering spatial variability of rock mass properties[J]. 2021, 42(11): 3157-3168.
DOI：

ZHANG Wen-gang, WANG Qi, CHEN Fu-yong, et al. Reliability analysis of slope and random response of anti-sliding pile considering spatial variability of rock mass properties[J]. 2021, 42(11): 3157-3168. DOI： 10.16285/j.rsm.2021.0464.

摘要

在边坡稳定可靠度分析中，通常采用确定性分析方法计算安全系数从而衡量边坡的稳定性，但传统的确定性分析方法无法充分考虑以及描述岩体天然存在的空间变异性，而导致对边坡的失效概率计算不够准确。基于Hoek-Brown准则和随机有限差分法（RFDM），将单轴抗压强度和完整岩石材料常数视为随机场变量，地质强度指标GSI视为随机变量，开展考虑岩体参数空间变异性的抗滑桩加固前后边坡可靠度分析和桩体随机响应研究。结果表明，岩体参数的空间变异性对边坡的失效概率及抗滑桩响应有显著影响，忽略岩体参数的空间变异性将高估边坡的失效概率和抗滑桩体的最大弯矩均值，同时将低估桩顶位移均值。研究结果可为抗滑桩加固边坡工程的可靠度分析与优化设计提供技术参考。

Abstract

In the reliability analysis of slope stability

the deterministic analysis method is usually used to calculate the safety factor to evaluate the stability of slope. However

the inherent spatial variability of rock mass properties cannot be considered and described adequately in traditional deterministic method

resulting in the inaccurate calculation of slope failure probability. Based on Hoek-Brown criterion and random finite difference method (RFDM)

the reliability analysis of slope stability and random response of pile are discussed in this paper considering spatial variability of rock mass. The uniaxial compressive strength and material constant for the intact rock are regarded as random field variables and geological strength index GSI is assumed to be a random variable. The results show that the spatial variability of rock mass parameters has a significant effect on slope failure probability and pile response. Ignoring the spatial variability of rock mass parameters will overestimate slope failure probability and the mean value of the maximum bending moment of anti-slide pile

and underestimate the mean value of displacement at pile head. The results can provide design guidance for slope reinforcement as well as layout optimization of anti-sliding piles.

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