张丽, 陈剑平, 肖云华, 郭桢. 基于遗传算法的边坡稳定性分析[J]. 煤田地质与勘探, 2008, 38(5): 42-44.
引用本文: 张丽, 陈剑平, 肖云华, 郭桢. 基于遗传算法的边坡稳定性分析[J]. 煤田地质与勘探, 2008, 38(5): 42-44.
ZHANG Li, CHEN Jian-ping, XIAO Yun-hua, GUO Zhen. GA-based slope stability analysis[J]. COAL GEOLOGY & EXPLORATION, 2008, 38(5): 42-44.
Citation: ZHANG Li, CHEN Jian-ping, XIAO Yun-hua, GUO Zhen. GA-based slope stability analysis[J]. COAL GEOLOGY & EXPLORATION, 2008, 38(5): 42-44.

基于遗传算法的边坡稳定性分析

GA-based slope stability analysis

  • 摘要: 边坡稳定性分析的关键是如何确定最危险滑动面。遗传算法是一种全局优化分析方法, 克服了一般优化方法容易陷入局部最优解的缺点。由于工程实际中边坡几何形状的不规则和材料的非均匀性, 真正的临界滑动面形状并不是都能用圆弧来准确描述的, 研究任意型滑面情况下的稳定性很有必要。为更加合理地进行边坡的稳定性分析, 利用遗传算法来搜索模拟边坡的最危险滑动面, 在工程实例中进行具体应用, 得到了非圆弧型滑动面, 与其他软件计算结果对比, 表明本文算法精度更高, 适应性更广。

     

    Abstract: Defining the most dangerous failure surface in slope stability analysis is a key point.Genetic algorithm is a global optimization algorithm.Compared with the general optimization method it avoids local minimum value.Generally in the practice project the geometrical form of the slope is irregular and the material is heterogeneous, not all the shapes of the real critical failure surface can be described accurately as circular arc, so it is necessary to study the stability of the slope with arbitrary-type failure surface.In order to analyze the slope stability more ra-tionally, the article uses genetic algorithm to search and simulate the critical failure surface in practice, and a non-circular failure surface is got.The comparison of results of the practice project approves that the method is more precise and more adaptable.

     

/

返回文章
返回