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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。
A genetic algorithm is proposed to determine the optimal connection point and the maximum lateral buckling load in the eccentric support structure. This kind of support structure is often used in seismic areas, giving architects more design space. The structure is biased by a non-diagonal rod and connected to the corners of the frame by a third rod. When designing such a structure, it is often repeated to determine the location of the points of support strut connection, taking into account various parameters such as the size of the opening and frame, the cross-sectional area of the support strut, and the location of the connection points of the strut elements. With conventional methods, it is difficult to determine the best point of connection with maximum lateral buckling load. Taking different frameworks as an example, the effectiveness of genetic algorithm is proved.