遗传算法在土坡整体稳定性分析中的应用

Genetic algorithm applied to ent ire stability analysis of soil slope

边坡稳定性分析的关键是如何确定最危险滑动面的位置并计算与之相对应的安全系数。由于传统的极限平衡分析方法很容易陷入局部极小值而不能找到真正的最危险滑裂面,因此采用瑞典条分确立土坡分析模型,用遗传算法搜索土坡最危险滑动面,进而求得土坡最小安全系数。该方法模拟了生物遗传进化的过程,克服了传统方法的局限性。通过和面积细分法所搜索的最危险滑动面和计算得到的土质边坡安全系数作对比,可得遗传算法在土质边坡稳定分析中具有较高的精度与可靠性。遗传算法可以很好地解决如何寻找土质边坡整体极值的问题。工程应用实例表明,遗传算法分析土质边坡的稳定性效果良好,具有很好的应用前景。

It is a key problem that how to determine the most dangerous sliding circular surface and calculate the minimum safety factor in the stability analysis of soil slope. The traditional limiting equilibrium analysis method will be easily immersed in local minimum, so the real most dangerous sliding circle can not be searched out. For the reason, a new approach which is genetic algorithms integrating the traditional method of slices with vertical interface is put forward to analyze the entire stability of soil slope. The stability analysis model of soil slope which can be called object function is established by the methods of slices with vertical interface; and then the most dangerous sliding circular surface will be searched out by the genetic algorithm. So the minimum safety factor of soil slope will be figured out. The analysis process will be performed by the computer program designed by the Microsoft Visual C~~ program language. After the search scope of the most dangerous sliding circular arc is determined and input into the program, all the calculation and analysis work will be done by the program algorithm automatically. Genetic algorithm simulates genetic evolutionary process of organisms and avoids the limit of traditional methods successfully. Compared with the minimum safety factor figured out by the area subdivision method and the most dangerous sliding circular arc searched out by the same means, the conclusion can be made that the stability analysis result of soil slope analyzed by the genetic algorithm is much more reliable. Genetic algorithm can successfully solve the problem that how to search the entire extremum of soil slope. The engineering application case indicates that the genetic algorithm is effective to analyze the stability of soil slope, which has extensive prospect and will be widely used in the slope engineering.