粒子群优化算法搜索土坡临界非圆弧滑动面

Particle swarm optimization technique for searching for non-circle critical slip surface in soil slopes

为了提高土坡稳定性状分析的速度和精度,提出了结合有限元分析结果用粒子群优化算法(PSO)来确定边坡最危险滑动面及其对应的最小安全系数的技术方法。这种方法以有限元分析结果为基础,不必假定滑动面的形状,对于软硬差别较大的成层土坡以及边界条件或受力情况比较复杂的实际土坡工程问题,可以得到合理的结果。通过两个算例,证明了这种方法的可行性。

In order to make a rapid and accurate evaluation of the stability behavior of soil slopes, a particle swarm optimization （PSO） method, which is based on the results of FEM analysis, is developed for searching for the critical slip surface corresponding to the minimum factor of safety against slope instability. The optimization method, in which it is unnecessary to set the shape of the slip surface, is appropriate for layered slopes ,in which the properties of diffel：ent layers are of much difference; and for slopes, which is complicated in boundary or load conditions . The applicability is demonstrated with the analyses of two cases published in literature.