土坡非圆临界滑动面求解的混合搜索方法

Mixed Search Algorithm of Non-circular Critical Slip Surface of Soil Slop

在非圆临界滑动面的搜索中,先进行圆弧滑动面的搜索,将得到的临界圆弧滑动面作为非圆临界滑动面搜索的初始滑动面,采用改进粒子群优化算法——快速粒子群算法寻优;然后根据搜索到的较优值缩减搜索域的范围,再利用改进和声搜索算法寻优,将得到的结果作为问题的最优解。最后采用Spencer法计算滑动面的安全系数,并利用2个复杂土坡作为算例来检验混合方法的有效性。比较结果表明:该方法适用于多变量优化问题的求解。

The circular arc slip surface was usually located firstly in process of search for non-circular slip surface and it was taken as the initial slip surface for the location of non-circular slip surface. The search algorithms involve the modified particle swarm optimization algorithm and the modified harmony search algorithm. The quasi-optimum solution was obtained by the modified particle swarm optimization algorithm and then the search domain was reduced for the implementation of modified harmony search algorithm. The factor of safety was calculated by using Spencer method. Two example slopes with complicated geometries were tested to demonstrate the efficiency of the proposed algorithms. The compared results show that the new algorithms are applicable to optimal solution of large number variables.