摘要
在装配式剪力墙结构的优化设计中,对预制构件的位置优化是控制成本的重要方法.在预制构件选型确定的情况下,结合免疫遗传算法,以最小预制构件体积为目标函数,以结构扭转位移比及层间位移角为约束条件,对预制剪力墙-梁组合构件的位置进行优化.算例优化结果表明,结合免疫遗传算法的装配式剪力墙位置优化结果在满足结构约束条件的同时,预制构件体积更小、更具经济性.
Location optimization of precast components is an important method with regard to cost control for the optimal design of prefabricated shear wall structures.With the selection of precast components determined,the location of precast wall-beam com-bined components is optimized by combining an immune genetic algorithm,the minimum precast component volume is considered the objective function,and the structural torsional displacement ratio and story drifts are used as the constraints.The algorithm optimiza-tion results demonstrate that the precast components optimized location combined with the immune genetic algorithm satisfies structural constraints,and the precast components volume is lower with improved economical optimization.
作者
李嘉喆
朱杰江
LI Jiazhe;ZHU Jiejiang(School of Mechanics and Engineering Science,Shanghai University,Shanghai 200444,China)
出处
《上海大学学报(自然科学版)》
CAS
CSCD
北大核心
2023年第4期720-733,共14页
Journal of Shanghai University:Natural Science Edition
关键词
装配式剪力墙结构
位置优化
免疫遗传算法
prefabricated shear wall structure
location optimization
immune genetic algorithm