甘卫军, 黄雅虹, 张培震. 1999: 黄土斜坡最危险滑裂面的遗传算法确定及稳定性分析. 工程地质学报, 7(2): 168-174.
    引用本文: 甘卫军, 黄雅虹, 张培震. 1999: 黄土斜坡最危险滑裂面的遗传算法确定及稳定性分析. 工程地质学报, 7(2): 168-174.
    Gan Weijun, Huang Yahong, Zhang Peizhen. 1999: METHOD FOR DETERMINING THE MOST RISK SLIP SURFACE OF LOESS SLOPE BY GENETIC ALGORITHM AND ITS APPLICATION TO STABILITY ANALYSIS. JOURNAL OF ENGINEERING GEOLOGY, 7(2): 168-174.
    Citation: Gan Weijun, Huang Yahong, Zhang Peizhen. 1999: METHOD FOR DETERMINING THE MOST RISK SLIP SURFACE OF LOESS SLOPE BY GENETIC ALGORITHM AND ITS APPLICATION TO STABILITY ANALYSIS. JOURNAL OF ENGINEERING GEOLOGY, 7(2): 168-174.

    黄土斜坡最危险滑裂面的遗传算法确定及稳定性分析

    METHOD FOR DETERMINING THE MOST RISK SLIP SURFACE OF LOESS SLOPE BY GENETIC ALGORITHM AND ITS APPLICATION TO STABILITY ANALYSIS

    • 摘要: 黄土滑坡尤其是地震作用下的黄土滑坡历来是我国西部广大地区一种突出而严重的地质灾害。本文研究了一种采用遗传算法基本思想和原理确定黄土斜坡最危险滑裂面、并以此为基础进行稳定性分析的新方法。实例的验证表明,与传统方法相比,该方法更准确、更高效,具有较好的实用性。

       

      Abstract: Loess landslides, especially those induced by earthquakes,are always the one kind of outstanding geologic hazards in the vast loess areas of West China . According to the basic idea and principle of genetic algorithm, a new metho d for determining the most risk slip surface of a loess slope is established. The test results show that the method is more effective and practical in the stability analysis of a loess landslide than traditional methods.

       

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