混合PSO在钢管混凝土减震框架优化设计中的应用研究  

Optimization study on the CFST frame with BRBs base on hybrid PSO

作　　者：任凤鸣[1] 梁健伟[2] 

机构地区：[1]广州大学土木工程学院,广东广州510006 [2]广东工业大学土木与交通工程学院,广东广州510006

出　　处：《广州大学学报（自然科学版）》2015年第4期42-46,共5页Journal of Guangzhou University:Natural Science Edition

基　　金：国家自然科学基金资助项目(51108095;51278130)

摘　　要：通过将粒子群算法(PSO)和遗传算法结合,建立了混合粒子群优化算法,并采用MATLAB编写了混合粒子群算法的优化程序,以钢管混凝土减震框架的层间位移角和构件内力为约束条件、各层防屈曲支撑核心单元横截面积总和为目标函数,对地震波作用下的某钢管混凝土减震框架进行了优化分析.优化结果表明:采用混合粒子群算法对地震波作用下的钢管混凝土减震框架进行优化是可行的,与其他优化算法相比,混合粒子群算法具有前期全局搜索能力强,后期局部搜索能力好的特点.In order to improve the performance of particle swarm optimization (PSO),the hybrid PSO (HPSO) was established through the combination of PSO and genetic algorithm (GA).The optimization program of con-crete filled steel tubular (CFST)frame under this hybrid PSO was written by MATLAB.The inter-story drift an-gles of the structure and the moments of the columns were defined as the constraints,and the objective function of the mathematical model was the sum of the cross section area of the core element of all buckling-restrained braces (BRB).The optimized results of a CFST frame with BRBs showed that it is feasible to optimize the CFST frame with BRBs under earthquake wave by HPSO.The HPSO has the advantages of good global search a-bility in the early optimization stage and good local search ability in the latter optimization stage.

关 键 词：混合粒子群算法 钢管混凝土框架 防屈曲支撑 结构优化 

分 类 号：TU398[建筑科学—结构工程]