遗传算法在岩土边坡稳定性分析中的应用

在岩土边坡稳定性分析中,最常用的搜索临界滑移面的方法是基于传统的非线性优化方法。非线性优化方法主要缺陷在于当边坡土层为非均质复杂条件时,无法保证搜索到安全系数的全局最小解,而只能搜索到局部极小解。基于遗传算法,建立了搜索岩土边坡稳定性分析最小安全系数和滑移面中心坐标与半径的数值方法。问题的可行解在变量搜索区间内搜索,包括滑弧的圆心坐标和半径。数值模拟结果表明,遗传算法搜索到的边坡稳定最小安全系数与理论解是一致的。

Application of genetic algorithm to geotechnical slope stability analysis

Most procedures for determining the critical slip surface in slope analysis rely on traditional nonlinear optimization techniques.The main shortcoming of these techniques is the uncertainty as to robustness of the algorithms to locate the global minimum factor of safety rather than the local minimum factor of safety for complicated and non-homogeneous geological subsoil conditions.The genetic algorithm is applied to search the critical factor of safety and the corresponding slip surface for slope stability....