Analysis on slope reliability considering anisotropic spatial variability of soil parameters

MING Sicheng; ZHANG Wengang; HE Yuwei; CHEN Longlong; QIN Changbing

doi:10.11835/j.issn.2096-6717.2023.037

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Analysis on slope reliability considering anisotropic spatial variability of soil parameters

Civil Engineering | 更新时间：2024-07-02

- Analysis on slope reliability considering anisotropic spatial variability of soil parameters
- Journal of Civil and Environmental Engineering Vol. 46, Issue 4, Pages: 60-74(2024)
- 作者机构：
  
  1.重庆大学，土木工程学院，重庆 400045
  2.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
  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
- 作者简介：
  
  MING Sicheng (1998- ), main research interest: reliability of geotechnical engineering; E-mail: 20164823@cqu.edu.cn.
  ZHANG Wengang （corresponding author）， PhD， professor， doctorial supervisor， E-mail： zhangwg@cqu.edu.cn.
- 基金信息：
  
  Natural Science Foundation of Chongqing(cstc2020jcyj-jq0087);Cooperation Projects Between Universities in Chongqing and Institutes of Chinese Academy of Sciences(HZ2021001)
- DOI：10.11835/j.issn.2096-6717.2023.037
  CLC： P642.22
- Received：24 December 2022，
  
  Published：25 August 2024
- 稿件说明：
移动端阅览
明思成,仉文岗,何昱苇等.考虑各向异性空间变异性的边坡可靠度分析[J].土木与环境工程学报,2024,46(04):60-74.

MING Sicheng,ZHANG Wengang,HE Yuwei,et al.Analysis on slope reliability considering anisotropic spatial variability of soil parameters[J].Journal of Civil and Environmental Engineering,2024,46(04):60-74.
明思成,仉文岗,何昱苇等.考虑各向异性空间变异性的边坡可靠度分析[J].土木与环境工程学报,2024,46(04):60-74. DOI： 10.11835/j.issn.2096-6717.2023.037.

MING Sicheng,ZHANG Wengang,HE Yuwei,et al.Analysis on slope reliability considering anisotropic spatial variability of soil parameters[J].Journal of Civil and Environmental Engineering,2024,46(04):60-74. DOI： 10.11835/j.issn.2096-6717.2023.037.

摘要

在边坡可靠度分析中，通常采用横观各向异性或各向同性随机场来刻画土体参数的空间变异特性，而忽略了土体参数的各向异性空间变异性，从而可能会得出错误的可靠度评价结果。为此，建立考虑各向异性空间变异性的边坡可靠度随机有限差分方法（RFDM）计算框架，并以一般各向异性空间变异性边坡为参考边坡，从波动范围方向结构、互相关系数、变异系数和波动范围等方面系统地探讨各向异性空间变异性对边坡可靠度的影响。结果表明：基于坐标转换的各向异性随机场模拟方法可以有效地刻画土体参数各向异性空间变异性；应变聚类边坡临界滑面搜索算法适用于复杂临界滑面的精确搜索；相比一般各向异性空间变异性，旋转各向异性空间变异性会高估边坡失效概率，横观各向异性空间变异性会严重低估边坡失效概率，而各向同性空间变异性会在较大和较小的波动范围内分别高估和低估边坡失效概率。

Abstract

In current slope reliability analysis

the failure probability might be wrongly calculated because of the inadequate consideration of anisotropic spatial variability of soil parameters. Therefore

a random finite difference method (RFDM) framework considering anisotropic spatial variability is established. Taking the general anisotropic spatial variability slope as a reference slope

the influence of anisotropic spatial variability on slope reliability is systematically studied from the aspects of fluctuation range direction structure

cross-correlation coefficient

variation coefficient and fluctuation range. The results show that the coordinate-transformation-based anisotropic random field simulation method can effectively characterize anisotropic spatial variability of soil parameters. Strain-clustering-based slope critical slip surface searching algorithm can accurately determine the complex critical sliding surface of slope. Compared with the general anisotropic spatial variability

the slope failure probability is overestimated and greatly underestimated when considering rotational anisotropy and transverse anisotropy

respectively. In addition

considering isotropic random fields can overestimate and underestimate the slope failure probability in case of greater and smaller scale of fluctuation

respectively.

关键词

Keywords

references

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