基于PSO的钢管混凝土减震框架小震作用下优化分析

Optimization Analysis on the Concrete Filled Steel Tubular Frame with Dissipation Frame under Small Earthquake based on PSO

基于粒子群算法,以钢管混凝土框架的层间位移角及构件内力为约束条件、防屈曲支撑核心单元横截面积总和为目标函数,采用Matlab编写了适用于钢管混凝土减震框架的优化算法,并对钢管混凝土减震框架进行了优化分析。结果表明:采用粒子群算法对钢管混凝土减震框架进行参数优化是可行的。粒子群算法参数少、收敛速度快,是一种适用于钢管混凝土减震框架的新型优化方法。

Basing on particle swarm optimization（ PSO）,we took the inter-story drift angle of concrete filled steel tube frame and the internal force of the member as the constraints,and the minimum of the total cross-section of all buckling-restrained braced（ BRB） core unit as the objective function. Then we compiled the optimization program which was suitable for the concrete filled steel tubular（ CFST） frame with dissipation devices,and took the optimization analysis on the parameters of it. The analysis results show that it＇s feasible to optimize the parameters of CFST frame with dissipation devices by PSO method. The parameters used in PSO method are few,and the convergence speed of it is quickly,so it is a new and good optimization method for the CFST frame with energy dissipation devices.