李志军, 雷海涛, 袁渊, 汤若辰, 王社良. 基于遗传算法的不规则高层结构新型电磁惯性质量阻尼器 优化布置研究1)[J]. 力学与实践, 2020, 42(2): 177-183. DOI: 10.6052/1000-0879-19-306
引用本文: 李志军, 雷海涛, 袁渊, 汤若辰, 王社良. 基于遗传算法的不规则高层结构新型电磁惯性质量阻尼器 优化布置研究1)[J]. 力学与实践, 2020, 42(2): 177-183. DOI: 10.6052/1000-0879-19-306
LI Zhijun, LEI Haitao, YUAN Yuan, TANG Ruochen, WANG Sheliang. OPTIMAL DISTRIBUTION OF EIMD FOR IRREGULAR HIGH-RISE BUILDING STRUCTURE VIA GENETIC ALGORITHM 1)[J]. MECHANICS IN ENGINEERING, 2020, 42(2): 177-183. DOI: 10.6052/1000-0879-19-306
Citation: LI Zhijun, LEI Haitao, YUAN Yuan, TANG Ruochen, WANG Sheliang. OPTIMAL DISTRIBUTION OF EIMD FOR IRREGULAR HIGH-RISE BUILDING STRUCTURE VIA GENETIC ALGORITHM 1)[J]. MECHANICS IN ENGINEERING, 2020, 42(2): 177-183. DOI: 10.6052/1000-0879-19-306

基于遗传算法的不规则高层结构新型电磁惯性质量阻尼器 优化布置研究1)

OPTIMAL DISTRIBUTION OF EIMD FOR IRREGULAR HIGH-RISE BUILDING STRUCTURE VIA GENETIC ALGORITHM 1)

  • 摘要: 为了解决应用新型电磁惯性质量阻尼器于偏心高层结构控震工程中的优化布置问题,提出一种基于遗传算法的优化配置策略。首先建立地震动作用下新型电磁惯性质量阻尼器(electromagnetic inertial mass dampers,EIMD)偏心高层结构的动力学方程,其次选取合适的适应度函数并基于遗传算法得到EIMD最优配置数量及集成位置信息,最后提出一种可行的半主动控制策略对优化的结构进行控震分析。以一个24层实体不规则高层结构为例,仿真分析结果表明优化配置后的EIMD 对结构的控震效果明显优于随机布置。

     

    Abstract: A new method for optimal distribution of electromagnetic inertial mass dampers (EIMDs) based on the genetic algorithm (GA) is proposed in this paper, to reduce the amplitudes of vibration responses of an eccentric high-rise building structure with EIMDs subjected to the earthquake wave. According to the mechanical mechanism of the EIMD, the dynamic equation of motion of the eccentric structural system with EIMDs is derived and some parameters of the structure are determined correspondingly. Moreover, the optimal quantities and the installation location of the EIMDs are determined by using the proposed GA with the feasible fitness function. Finally, a feasible semi-active control strategy is adopted for the eccentric high-rise building structure with EIMDs. A full-size eccentric high-rise building structure with 24 stories is used as an example to demonstrate the effectiveness of the proposed method. Simulation results show that the control performance of the proposed optimal strategy is superior to the one of the stochastic distribution strategy.

     

/

返回文章
返回