Hybrid connection distribution optimization of precast concrete frames using GA-based method

被引:0
作者
Jiang, Bowen [2 ]
Lai, Xiao [2 ]
Du, Bin [2 ]
He, Zheng [1 ]
Huang, Guohui [3 ]
Pan, Feng [4 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian, Peoples R China
[2] Dalian Univ Technol, Dalian, Peoples R China
[3] China Machinery Int Engn Design & Res Inst Co Ltd, Changsha, Peoples R China
[4] Shanghai Construct 5 Grp Co Ltd, Shanghai, Peoples R China
来源
IASS 60TH ANNIVERSARY SYMPOSIUM (IASS SYMPOSIUM 2019) - 9TH INTERNATIONAL CONFERENCE ON TEXTILE COMPOSITES AND INFLATABLE STRUCTURES (STRUCTURAL MEMBRANES 2019) | 2019年
关键词
structural optimization; precast concrete frame; genetic algorithm; hybrid connections; earthquake design; COST OPTIMIZATION; DESIGN;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Previous researches in improving the seismic performance of prefabricated structures have mostly focused on proposing new forms of connections and joints. But it usually takes a long period of time from the research to the use in practice. The cost could usually be another constraint. This paper presents an optimization method considering hybrid connections distribution of precast concrete frames for the earthquake design. The optimization process aims to find a reasonable arrangement of different types of connections to improve the seismic performance and save the cost of precast concrete frames. A niched master-slave genetic algorithm is used for the optimization and Sap2000 is used for the finite element analysis. The mode decomposition method is used for the earthquake action analysis. Parameters related to the structural stiffness such as the lateral stiffness ratio and the inter-story drift are considered as constraints. And a multi-stage cost is considered as the objective. The result reveals that the optimized structure reduces the connection cost to a great extent and exhibits a more reasonable deformation form under frequent earthquakes compared to those with traditional connection forms.
引用
收藏
页码:2032 / 2039
页数:8
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