利用粒子群优化算法求解土坡非圆临界滑动面  

Solution of Soil Slope Non-circular Critical Sliding Surface with Particle Swarm Optimization Algorithm

作　　者：褚雪松[1] 李亮[1] 于广明[1] 

机构地区：[1]青岛理工大学土木工程学院,山东青岛266033

出　　处：《路基工程》2010年第3期12-14,共3页Subgrade Engineering

基　　金：国家自然科学基金(50874064);山东省自然科学基金重点项目(Z2007F10)

摘　　要：提出修复策略替换惩罚策略来修复搜索过程中可能出现的不合理滑动面,以更有效搜索最危险的滑动面。将粒子群中每个粒子比拟为滑动面,利用粒子群优化算法求解两个土坡的最小安全系数及其临界滑动面,同已有的结果比较,证明了文中提出的两种策略是合理有效的。This paper puts forward recovery strategy instead of penalty strategy to recover possible unreasonablesliding surface during searching so as to search for the most dangerous sliding surface more effectively.Comparing each particle in the swarm to a sliding surface,it is sought for the minimum safety factor and critical sliding surface of two soil slopes with particle swarm optimization algorithm.Comparing it with the existing results,it is proved that two strategies advanced herein are reasonable and effective.

关 键 词：边坡稳定 安全系数 粒子群优化算法 修复策略 

分 类 号：U416.14[交通运输工程—道路与铁道工程]