Optimal Arrangement of Dampers Based on Coarse-Grained Parallel Genetic Algorithm

被引：0
|
作者：
Ma H. [1 ]
Chen F. [1 ]
机构：
[1] State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510640, Guangdong
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2019年 / 47卷 / 11期
关键词：
Coarse-grained parallel genetic algorithm; Damper; Inter-story drift reduction ratio; Optimal arrangement; Passive controlled structure;
D O I：
10.12141/j.issn.1000-565X.190051
中图分类号：
学科分类号：
摘要：
A coarse-grained parallel genetic algorithm was proposed to optimize the damper arrangement in passive controlled structures. According to the algorithm, a population is divided into several sub-populations, which can independently complete the operation of genetic algorithm. For a given gene coding individual, the INP model files are firstly generated, numerical analysis is conducted in ABAQUS environment and the result data is read and transmitted in Python environment by using Matlab programming. Through the interactive use of Matlab-ABAQUS-Python, the value of objective function is figured out. A 10-story passive-controlled steel frame structure is selected as the research object, and the optimal design of damper arrangement is conducted by taking the inter-story drift angle as the control objective. The results show that the algorithm can not only improve the diversity of population compared with the classical genetic algorithm, but also accelerate the convergence speed of population. Compared with the results of the structure with the dampers placed in every two storeys, the inter-story drift reduction ratio of the structure equipped with the new algorithm can be increased by 19.3%, which indicates that the seismic response reduction ratio of the structure is greatly improved by using the algorithm. © 2019, Editorial Department, Journal of South China University of Technology. All right reserved.
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页码：104 / 112
页数：8
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