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考虑抗剪强度参数空间变异性的边坡稳定性分析

袁葳 常晓林 段寅 程勇刚 马刚

中南大学学报(自然科学版)2016,Vol.47Issue(11):3899-3908,10.
中南大学学报(自然科学版)2016,Vol.47Issue(11):3899-3908,10.DOI:10.11817/j.issn.1672-7207.2016.11.037

考虑抗剪强度参数空间变异性的边坡稳定性分析

Stability analysis of slope considering spatial variation of shear strength parameters

袁葳 1常晓林 2段寅 1程勇刚 1马刚3

作者信息

  • 1. 武汉大学 水资源与水电工程科学国家重点实验室,湖北 武汉,430072
  • 2. 湖北省水利水电规划勘测设计院,湖北 武汉,430064
  • 3. 长江勘测规划设计研究院,湖北 武汉,430010
  • 折叠

摘要

Abstract

A stochastic finite element method was proposed to analyze slope stability based on ABAQUS. Firstly, the Karhunen-Loeve (K-L) expansion method was used to build the random field model of shear strength parameters. Thereafter, the strength reduction finite element method was adopted to simulate the process of slope failure. The criteria for evaluating stability of slope were connectivity of plastic zone and convergence of numerical computation. Finally, the distribution of critical slip surfaces was determined by python script. The proposed method was used to study the effect of spatial variation of internal friction angle and spatial cohesion on the slope stability. The results indicate that the proposed stochastic finite element method is easy to operate and implement. It can analyze the effect of spatial variation of soil parameter on the slope stability from two aspects:safety factor and the critical slip surface. The stability of a slope with different correlation length of friction is similar. The variation trend of slope stability is contrary with two different ratio of horizontal correlation length to vertical correlation length while considering spatial variation of cohesion. Besides, as the correlation coefficient of soil parameters increases, the failure probability is higher, and the distribution of critical slip surface is wider.

关键词

空间变异性/边坡稳定性/强度折减有限元法/随机有限元方法

Key words

spatial variation/slope stability/strength reduction finite element method/stochastic finite element method

分类

建筑与水利

引用本文复制引用

袁葳,常晓林,段寅,程勇刚,马刚..考虑抗剪强度参数空间变异性的边坡稳定性分析[J].中南大学学报(自然科学版),2016,47(11):3899-3908,10.

基金项目

长江科学院开发研究基金资助项目(CKWV2015224/KY);国家自然科学基金资助项目(51379161)(Project (CKWV2015224/KY) supported by the CRSRI Open Research Program (CKWV2015224/KY)

Project(51379161) supported by the National Natural Science Foundation of China) (51379161)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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