Search for critical slip surface of 3D slope based on genetic algorithm

MAO qian; CHEN Sheng-hong; PENG Cheng-jia

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Search for critical slip surface of 3D slope based on genetic algorithm

更新时间：2026-06-25

- Search for critical slip surface of 3D slope based on genetic algorithm
- Vol. 29, Issue 5, (2008)
- 作者机构：
  
  武汉大学水利水电学院,武汉,430072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU473
- Online First：24 July 2013，
  
  Published：2008
- 稿件说明：
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MAO qian, CHEN Sheng-hong, PENG Cheng-jia. Search for critical slip surface of 3D slope based on genetic algorithm[J]. 2008, 29(5).
DOI：

MAO qian, CHEN Sheng-hong, PENG Cheng-jia. Search for critical slip surface of 3D slope based on genetic algorithm[J]. 2008, 29(5). DOI：

摘要

将遗传算法引入到三维边坡稳定分析中。由于三维边坡滑裂面的复杂性，需对滑裂面作适当简化。认为滑裂面为椭球面，用7个控制参数来模拟生成滑裂面，再运用遗传算法来搜索滑坡的最不利的滑裂面。对于存在确定滑裂面的滑坡，7以将此滑裂面作为整体滑裂面，计算其整体稳定安全系数，然后在整体稳定的基础上，运用遗传算法搜索滑坡内部的最不利滑裂面，得出滑坡最小的稳定安全系数。

Abstract

Genetic algorithm is used in three-dimensional slope stability analysis. The slip surface of 3D slope is complicated

so it needed to be simplified. The slip surface is assumed to be formed as ellipsoid by seven parameters; and then the most possible slip surface which has the lowest safety factor will be searched out through genetic algorithm. If the slope has the explicit slip surface

the slip surface will be regarded as the whole slip surface; and the whole safety factor will be calculated. And then the local slip surface which has the lowest safety factor will be searched by genetic algorithm.

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