基于遗传算法的钢框架-BRB结构优化

Optimization of Steel Frame-BRB Structure Based on Genetic Algorithm

将钢框架—BRB结构优化设计分为小震优化阶段和大震调整阶段。小震优化阶段以造价最低为优化目标,引入拓扑变量来表示BRB的布设位置,将BRB的位置、等效截面面积和框架的截面作为设计变量,在同时满足梁柱构件的强度和稳定性约束、BRB不屈服约束及层间位移约束的前提下,通过遗传算法对钢框架—BRB结构进行整体优化;大震调整阶段对不符合大震层间位移约束的结构采用准则法调整构件截面。进行了较为全面的钢框架—BRB结构优化设计,在满足规范要求的前提下大幅降低结构造价,提高了结构的经济性。

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.