Analysis of slope stability for underground vacant areas based on improved genetic algorithm

WAN Wen; CAO Ping; FENG Tao; YUAN Hai-ping

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Analysis of slope stability for underground vacant areas based on improved genetic algorithm

更新时间：2026-06-25

- Analysis of slope stability for underground vacant areas based on improved genetic algorithm
- Vol. 27, Issue 11, (2006)
- 作者机构：
  
  湖南科技大学岩土工程研究所，湘潭 411201 2 .中南大学岩土力学研究所,长沙,410083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TB115
- Online First：04 December 2013，
  
  Published：2006
- 稿件说明：
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WAN Wen, CAO Ping, FENG Tao, et al. Analysis of slope stability for underground vacant areas based on improved genetic algorithm[J]. 2006, 27(11).
DOI：

WAN Wen, CAO Ping, FENG Tao, et al. Analysis of slope stability for underground vacant areas based on improved genetic algorithm[J]. 2006, 27(11). DOI：

摘要

以边坡稳定性计算的非圆弧滑动面条分法为基础，提出一种改进的遗传算法。在无需对边坡最危险滑动面的几何形状进行假设的前提下，自由搜索最危险滑动面及其对应的最小安全系数。通过工程实例，将改进方法与其他方法进行对比分析，结果表明：该方法不仅准确可靠，而且总能搜索到全局最优解。该实例也表明：在其他条件不变的情况下，地下空区是导致边坡失稳的主要因素。

Abstract

Based on the non-circular failure surface analysis method for the calculation of integral stability of slope

an improved genetic algorithm is presented; it can freely search for the most dangerous failure surface of slope and corresponding minimum safety factor without supposing the geometric shape of the most dangerous failure surface. The analytical results of some slopes by the proposed method and the comparisons between the proposed method and other ones show that the proposed method is accurate，reliable and able to find out the global optimal solution. At the same time

the underground vacant areas are the primary factors

if the other conditions are invariable.

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