基于和声算法与粒子群算法的边坡稳定性分析  

Slope stability analysis based on harmony search method And particle swarm optimization method

作　　者：王国艳[1,2] 李亮[2] 褚雪松[2] 

机构地区：[1]辽宁工程技术大学力学与工程学院,辽宁阜新123000 [2]青岛理工大学土木工程学院,山东青岛266033

出　　处：《辽宁工程技术大学学报（自然科学版）》2010年第2期208-211,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金重点基金资助项目(50874064);国家自然科学基金青年基金资助项目(50904039)

摘　　要：基于和声搜索算法与粒子群优化算法,在条分法框架内,提出一种考虑土体渐进破坏的稳定分析新方法。对给定的滑动面,利用和声搜索算法寻找出能使该滑动面具有最大抗滑稳定安全系数的内力分布,其间可以考虑土条发生局部破坏后的内力调整过程。利用粒子群优化算法搜索出土坡最危险的滑动面。将该新方法应用于简单土坡的稳定分析中,计算结果表明,该法更真实的模拟了土体的实际破坏情况,与传统极限平衡方法所得结果的比较也证明了新方法的合理性。A new stability analysis method in consideration of progressive failu re of soils is presented using the slice method and by harmony search method and particle swarm optimization method.The harmony search method is used to locate the distribution of inner-forces acting on the sliding mass above the given slip surface,which endows the given slip surface the maximum factor of safety.The particle swarm optimization method is adopted to search the critical slip surface,which has the global minimum factor of safety.The new method is applied to stability analysis on simple soil slopes.The comparisons of the computed results with that by conventional limit equilibrium method have shown that the new method is feasible and applicable to the slope stability analysis.

关 键 词：土坡稳定 安全系数 和声搜索算法 粒子群算法 局部安全系数 极值原理 渐进破坏 

分 类 号：TB115[理学—数学]