您当前的位置：
首页 >
文章列表页 >
Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System
更新时间：2023-11-26

    • Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System

    • Journal of Civil, Architectural & Environmental Engineering   Vol. 35, Issue 3, Pages: 1-6, 100(2013)

    • DOI：10.11835/j.issn.1674-4764.2013.03.001    

      CLC：

    • Received：23 April 2012，

      Published：2013-06

    移动端阅览

  • Libiao Liu, Yongxing Zhang, Jiangong Chen. Application of Improved Multi-population Genetic Algorithm to Damage Identification of Soil-wall System[J]. Journal of Civil, Architectural & Environmental Engineering, 2013, 35(3): 1-6, 100. DOI： 10.11835/j.issn.1674-4764.2013.03.001.

  •  
  •  
icon
试读结束，您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束，您可以通过登录账户，到个人中心，购买VIP会员阅读全文。
已是VIP会员？
去登录 >

0

Views

5

下载量

5

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Two-stage beam structure damage detection based on improved particle swarm optimization
Analysis and control of wide-band vibration and noise of roof building based on FE-SEA method
Damage identification of bolt looseness in transmission tower based on wavelet packet analysis
Structural damage identification based on digital twin and deep learning
Comparative study of hinge joint damage of hollow slab bridge based on modal parameter index

Related Author

Hui Cao
Weifeng Niu
ZHANG Liang
LI Jiabao
GUO Wenjie
LUO Wenjun
FENG Zhaowei
LI Xiaohua

Related Institution

School of Civil Engineering and Architecture, East China Jiaotong University
State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University
School of Civil Engineering, Chongqing University
College of Civil Engineering, Tongji University
Dalian Geotechnical Engineering and Mapping Institute Group Co. Ltd
0