Optimal analysis for parameters of a viscoelastic earthquake-isolation device based on genetic algorithm and energy equation

被引：0
|
作者：
Guo, Yi-Feng [1 ,2 ]
Xu, Zhao-Dong [1 ]
Tu, Qing [3 ]
机构：
[1] MOE Key Laboratory of Concrete and Prestressed Concrete Structures, Southeast University, Nanjing 210096, China
[2] Sino-Singapore Suzhou Industrial Park Design and Research Institute Co. Ltd., Jiangsu Suzhou 215021, China
[3] Central and Southern China Municipal Engineering Design and Research Institute, Wuhan 430010, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2012年 / 31卷 / 17期
关键词：
MATLAB - Viscoelasticity - Earthquakes - Parameter estimation - Earthquake engineering - Numerical methods;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Parametric optimization of a viscoelastic damper in earthquake isolation and mitigation of structures was investigated here. Based on the energy equation, an objective function for optimization was set up, and a parametric optimization model for a viscoelastic damper was developed. Then, the genetic algorithm programmed with MATLAB was used to complete the parametric optimization of a cylindrical reticulated shell modeled with ANSYS, and the sensitivity of this method to the earthquake waves was also studied. The parameters of the viscoelastic damper were obtained with genetic algorithm based on energy equation. The numerical results showed that the displacement and stress of the structure are controlled effectively; additionally, the different earthquake waves have little influence on the results obtained with the proposed method.
引用
收藏
页码：116 / 119
相关论文
共 50 条
  • [1] Optimization analysis on parameters of multi-dimensional earthquake isolation and mitigation device based on genetic algorithm
    Xu, Zhao-Dong
    Guo, Yi-Feng
    Wang, Shao-An
    Huang, Xing-Huai
    NONLINEAR DYNAMICS, 2013, 72 (04) : 757 - 765
  • [2] Optimization analysis on parameters of multi-dimensional earthquake isolation and mitigation device based on genetic algorithm
    Zhao-Dong Xu
    Yi-Feng Guo
    Shao-An Wang
    Xing-Huai Huang
    Nonlinear Dynamics, 2013, 72 : 757 - 765
  • [3] Optimal Design of RF Energy Harvesting Device Using Genetic Algorithm
    Mori, T.
    Sato, Y.
    Adriano, R.
    Igarashi, H.
    SENSING AND IMAGING, 2015, 16 (01):
  • [4] Genetic algorithm based extraction of IC device model parameters
    Yang, HZ
    Wang, H
    Zhao, LY
    CAS'98 PROCEEDINGS - 1998 INTERNATIONAL SEMICONDUCTOR CONFERENCE, 21ST EDITION, VOLS 1 AND 2, 1998, : 375 - 378
  • [5] Optimal design of continuous miner parameters based on genetic algorithm
    College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China
    Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban), 2007, SUPPL. 2 (208-209):
  • [6] Optimal Operation of Integrated Energy System Based on Exergy Analysis and Adaptive Genetic Algorithm
    Chen, Haoyong
    Chen, Simin
    Li, Ming
    Chen, Jinbin
    IEEE ACCESS, 2020, 8 : 158752 - 158764
  • [7] Identification of parameters of explosive JWL state equation based on genetic algorithm
    Cui, Hao
    Guo, Rui
    Song, Pu
    Gu, Xiaohui
    Zhou, Hao
    Xing, Boyang
    Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 41 (09): : 174 - 180
  • [8] Genetic algorithm based optimal chiller loading for energy conservation
    Chang, YC
    APPLIED THERMAL ENGINEERING, 2005, 25 (17-18) : 2800 - 2815
  • [9] Optimal analysis for weight matrices in LQR algorithm based on genetic algorithm
    Guo, Yi-Feng
    Xu, Zhao-Dong
    Tu, Qing
    Ran, Cheng-Song
    Zhendong yu Chongji/Journal of Vibration and Shock, 2010, 29 (11): : 217 - 220
  • [10] Energy Trading Model for Optimal Microgrid Scheduling Based on Genetic Algorithm
    Chen Changsong
    Duan Shanxu
    Cai Tao
    Liu Bangyin
    Yin Jinjun
    2009 IEEE 6TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, 2009, : 1297 - 1300
12345