基于改进粒子群优化算法的钢框架抗震优化设计  

Optimum seismic design of steel frames based on improved particle swarm optimization algorithm

作　　者：李沛豪[1] 李东 刘崇奇 LI Peihao;LI Dong;LIU Chongqi(College of Civil Engineering and Architecture,Zhejiang University of Technology,Hangzhou 310014,China)

机构地区：[1]浙江工业大学建筑工程学院,浙江杭州310014

出　　处：《浙江工业大学学报》2018年第6期666-671,共6页Journal of Zhejiang University of Technology

基　　金：国家自然科学基金资助项目(51008281)

摘　　要：为进行钢框架结构抗震优化设计,首先构建基于Push-over抗震分析方法、以结构顶层位移和层间位移角为性能指标的抗震优化模型;选择从惯性权重取值、速度更新方式和位置更新方式等方面改进的粒子群算法对构建好的结构模型进行优化;对一榀三层四跨钢框架模型算例进行优化求解,并与标准粒子群算法、蚁群算法和遗传算法的求解结果进行比较。结果表明:改进后的粒子群算法稳定性良好且求解质量更优,可应用于钢框架抗震优化设计。In order to optimize the seismic design of steel frames,a seismic optimization model is first built,which is based on the push-over analysis method and takes the top displacement and the story drift ratio in the structure as the performance indexes.By choosing the particle swarm algorithm improved from the inertia weight value,the speed update mode,and the location update mode,the constructed structural model is optimized.As an example,a four-bay three-story frame is optimized and the results are compared with those solved from the standard particle swarm,the ant colony algorithm,and the genetic algorithm.It is shown that the improved particle swarm algorithm is of good stability and better solution quality.The improved particle swarm algorithm can be applied to the seismic optimization of steel frames.

关 键 词：粒子群优化算法 结构优化 钢框架 Push-over抗震分析 基于性能的抗震设计 

分 类 号：TU311.1[建筑科学—结构工程]