基于遗传算法的路基边坡稳定性分析

Stability Analysis of Highway Subgrade Slope Based on Genetic Algorithm

摘要: 文章提出一种瑞典圆弧法和遗传算法相结合的边坡稳定性分析方法。以简单均质粘性土坡为研究对象，首先引入边坡稳定性分析的平面直角坐标系，推导该坐标系下的平衡方程和边坡稳定系数表达式；然后建立基于遗传算法的参数优化模型，通过MATLAB遗传算法工具箱求解，实现边坡稳定分析最小安全系数的自动寻优；最后，进行实例验证和对比，结果表明该方法是行之有效的。

Abstract: A slope stability analysis scheme combining genetic algorithm and Swedish arc method is proposed. Taking simple homogeneous cohesive soil slope as the research object, the planar Cartesian coordinate system of slope stability analysis is first introduced, and the circular arc equation and slope stability coefficient expression under this coordinate system are derived. Then, a parameter optimization model based on genetic algorithm is established, which is solved by the MATLAB genetic algorithm toolbox to realize the automatic optimization of the minimum safety factor of slope stability analysis. Finally, the case verification and comparison show that the method is effective.