粒子群算法在确定边坡最小安全系数中的应用  

Particle Swarm Optimization Method for Searching for Critical Slip Surface in Soil Slopes

作　　者：张慧[1] 李立增[2] 王成华[3] 

机构地区：[1]同济大学土木工程学院,上海200092 [2]石家庄铁道学院交通工程系,石家庄050043 [3]天津大学建筑工程学院,天津300072

出　　处：《石家庄铁道学院学报》2004年第2期1-4,10,共5页Journal of Shijiazhuang Railway Institute

基　　金：国家自然科学基金资助(50078037)

摘　　要：基于圆弧滑动面假定,提出了一种用粒子群优化算法(PSO)确定边坡最危险滑动面及其对应的最小安全系数的方法,并以粒子群优化算法为指导,编制了搜索土坡临界滑动面的程序,将粒子群这一新近发明的进化计算技术应用于工程实际。In order to make a rapid and accurate evaluation of the anti-slide stability behavior of complicated soil slopes,a nonlinear finite element method is employed at first to analyze the stress fields, and the factor of safety against sliding is defined and calculated based on the stress fields.The critical slip face corresponding to the minimum factor of safety is then searched with the genetic algorithm optimization method. The key techniques in the genetic algorithm including the genetic coding of an arbitrary shaped slip face,the definition of the optimization function of fitness,and the constrain of the rational shapes of potential slip faces are studied in detail.The feasibility, efficiency and robustness of the genetic algorithm optimization method are finally demonstrated with stability analysis of a classic slope case.

关 键 词：粒子群 优化算法 土坡临界滑动面 

分 类 号：O224[理学—运筹学与控制论]