基于遗传算法的偏心支撑结构优化

提出一种遗传算法,确定偏心支撑结构中的最佳连接点及最大侧向屈曲荷载。这种支撑结构常用于地震区,可给予建筑师更多的设计空间。通过非对角线杆件对结构施加偏心,并通过第3根杆件与框架角点相连。设计这种结构时,常反复试验以确定支撑杆件连接点位置,考虑各种参数,如:开口和框架尺寸、支撑杆件的横截面面积及支撑杆件连接点位置。采用传统方法,通过最大侧向屈曲荷载来确定最佳连接点是很难的。以不同框架为例,证明遗传算法的有效性。

Optimization of Off-Centre Bracing System Using Genetic Algorithm

In this paper,a method based on genetic algorithm is proposed for determining the optimum connection point with the highest lateral buckling load in the Off-Centre bracing system.This type of bracing system is mostly used in seismic areas and it allows architects to have more openings in the panel area.In this system,the non-straight diagonal member introduces eccentricity to the system and is connected to the corner of the frame by a third member.In designing this system,designers often usetrial and error ...