边坡非圆弧滑动面的PSO-GA组合搜索

边坡非圆弧滑动面的PSO-GA组合搜索 A PSO-GA Hybrid Searching Method for Non-Circular Slip Surfaces in Sope Stability Analysis 谢百义 XIE Baiyi1 1 2 3 4 first-author 陈世鸿 CHEN Shihong1 1 2 3 4 李名标 LI Mingbiao1 1 2 3 4 武汉大学计算机学院 武汉大学计算机学院 School of Computer,Wuhan University School of Computer,Wuhan University 武汉大学计算机学院,湖北,武汉,430072 武汉大学计算机学院,湖北,武汉,430072 China Railway Siyuan Survey and Design Group Co.,LTD China Railway Siyuan Survey and Design Group Co.,LTD 中铁第四勘察设计院集团有限公司 中铁第四勘察设计院集团有限公司 ,湖北,武汉,430063 ,湖北,武汉,430063 在岩土工程边坡非圆弧临界滑动面搜索问题中,依据作者提出的非圆弧滑动面向量表示方法,采用粒子群优化算法（PSO）和遗传算法（GA）组合形成的一种新算法,实现了临界滑动面的最优搜索.通过算例分析,并与GeoSLOPE等成熟系统的结果比较,验证了本方法的正确性和确定边坡临界滑动面搜索算法的高效性.稳定系数的计算采用适合解非圆弧滑动问题的摩根斯坦-普赖斯方法,根据本文验证,对该方法可能出现的异常情况进行了修正. In slope stability analysis,failure surfaces tend to be non-circular for non-homogeneous soils.By using a new description of non-circular slip surface proposed by author,a hybrid evolutionary optimization algorithm based on particle swarm and genetic algorithms is presented to search the critical non-circular failure surface in slope stability analysis with a perfect performance and more efficiency.Compared with other mature slope stability system such as GeoSLOPE,the results of examples demonstrate the effect of the representation method of non-circular slip surfaces and the algorithms.The Morgenstern-Price method is applied to compute the factor of safety in this paper,which is regarded as a very good method to solve the slope stability problems,especially for non-circular slip surface problems.Some revises to the exception caused by this method is also proposed according to the software realization of the method,too. 边坡稳定 临界滑动面 粒子群优化算法 遗传算法 slope stability critical slip surface particle swarm optimization（PSO） algorithm genetic algorithm TU432 国家高技术研究发展计划（863）项目（2003AA001032,2002AA111010） 2008-03-01 2021-04-01 3