基于遗传算法的钢框架—BRB结构优化OACSTPCD

The optimization design of steel frame-BRB structures is divided into two stages:the small seismic optimization stage and the large seismic adjustment stage.In the small seismic optimization stage,the objective is to minimize the cost,topological variables are used to represent the deployment positions of Buckling-Restrained Braces(BRBs).The positions of BRBs,equivalent cross-sectional areas,and frame sections are used as design variables.Genetic algorithm is adopted to optimize the steel frame—BRB structure,while meeting the strength and stability constraints of the beam and column members,the BRB-non-yield constraint and the interlayer drift constraint;In the large seismic adjustment stage,the criterion method is used to adjust the components section of the structure which doesn't meet the interlayer drift constraint under the large earthquake.This paper presents a comprehensive optimization design for steel frame-BRB structures,which greatly reduces the structural cost,and improves the economics of the structure while meeting the requirements of the code.