改进的粒子群算法及其在土坡临界滑动面搜索中的应用  

Modified Particle Swarm Optimization Algorithm and Its Application to the Search For the Critical Slip Surface of Soil Slopes

作　　者：李亮[1] 迟世春[1] 郑榕明[2] 林皋[1] 褚雪松[1] 

机构地区：[1]大连理工大学海岸与近海工程国家重点实验室,辽宁大连116023 [2]香港理工大学土木与结构工程系

出　　处：《防灾减灾工程学报》2007年第2期153-158,共6页Journal of Disaster Prevention and Mitigation Engineering

摘　　要：首先,提出了一种新型的模拟任意滑动面的方法,该法能自动产生运动许可的滑动面。同时,针对基本粒子群优化算法存在计算量大的缺点,提出了一种改进的,即不连续飞行粒子群优化算法。利用Spencer法计算滑动面的安全系数,对几个复杂土坡的最小安全系数及其对应的滑动面进行了分析,并与国内外已有结果进行了比较,证明了改进粒子群优化算法和模拟滑动面的新方法是合理、有效的,可用于复杂优化问题的研究。A new procedure is presented to generate kinematically acceptable slip surface of general shape. The modified, i. e. , discontinuous flying particle swarm optimization algorithm （DFPSO） is proposed to avoid the severe time consuming occurred in the original particle swarm optimization algorithm. Spencer＇s method of slices is adopted to calculate the factor of safety of given slip surface. Several example slopes with complicated geometries and loading cases are examined to demonstrate the efficiency and validity of the new method. The results obtained by this study are compared with those reported in existing literatures and it can be concluded that the DFPSO can perform well for the complex optimization problems.

关 键 词：边坡稳定 极限平衡法 安全系数 任意滑动面 粒子群优化算法 

分 类 号：TU435[建筑科学—岩土工程]