Boundary-oriented optimization of semi-rigid connections in steel frames using BNSGA

被引:0
|
作者
Liu, Deming [1 ]
Zheng, Yanjun [1 ]
Wang, Zhan [1 ,2 ]
Pan, Jianrong [1 ,2 ]
Hu, Fangxin [1 ,2 ]
Yin, Tulong [3 ]
机构
[1] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China
[2] South China Univ Technol, State Key Lab Subtrop Bldg & Urban Sci, Guangzhou 510640, Peoples R China
[3] Coll Civil Engn, Guangdong Commun Polytech, Guangzhou 510650, Peoples R China
基金
中国国家自然科学基金;
关键词
Semi -rigid connections; Steel frame structure; Connection optimization; Boundary -oriented optimization; Structural optimization; BNSGA; MINIMUM-COST DESIGN; OPTIMUM DESIGN; GENETIC ALGORITHM; JOINTS; BASES;
D O I
10.1016/j.jcsr.2024.108471
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In recent decades, scholars have focused their research on optimizing semi-rigid frame structures. However, in most studies, semi-rigid connections are commonly treated as design variables without undergoing optimization during their construction phase. Considering that connection design encompasses multiple parameters, incorporating these design parameters as structural optimization variables could exponentially expand the search domain. To address the abovementioned issues, this study introduces a pre-optimization method for semi-rigid connections based on the boundary-oriented non-dominated sorting genetic algorithm (BNSGA). By adopting the Eurocode 3 (EC3) component method to calculate the moment-rotation curve of connections and utilizing cost as the objective function, the distribution of connection boundary surfaces in the initial stiffness-bearing capacitylowest cost objective space is determined using the BNSGA. Through the maximum direct distance strategy (MDDS), typical connection points are selected from the fitting points on the boundary surface based on construction parameters and performance metrics. The effectiveness of this approach in generating a connection database is further validated by analyzing two structural optimization examples.
引用
收藏
页数:18
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