Structural Damage Identification using Improved Particle Swarm Optimization

被引：0
|
作者：
Guo, Huiyong [1 ]
Yuan, Junsheng [1 ]
Li, Zhengliang [1 ]
机构：
[1] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
来源：
TRENDS IN CIVIL ENGINEERING, PTS 1-4 | 2012年 / 446-449卷
关键词：
Damage identification; Particle Swarm Optimization; modal strain energy; frequency; evidence fusion;
D O I：
10.4028/www.scientific.net/AMR.446-449.3171
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In order to solve structural damage identification problem, a damage identification method based on improved Particle Swarm Optimization (IPSO) is presented. First, structural frequency and modal strain energy are utilized to obtain damage information. Then, evidence fusion theory is utilized to integrate the information and preliminarily identify structural damage locations. After the damaged locations are determined, Particle Swarm Optimization (PSO) is used to identify structural damage extent. Some improved strategies are presented to enhance the search efficiency. The simulation results demonstrate that the proposed method can estimate the damage locations and extent with good accuracy.
引用
收藏
页码：3171 / 3175
页数：5
相关论文
共 50 条
  • [31] Structural Damage Identification Using an Adaptive Multi-stage Optimization Method Based on a Modified Particle Swarm Algorithm
    M. R. Nouri Shirazi
    H. Mollamahmoudi
    S. M. Seyedpoor
    Journal of Optimization Theory and Applications, 2014, 160 : 1009 - 1019
  • [32] Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization
    Das, Subhajit
    Dhang, Nirjhar
    SMART STRUCTURES AND SYSTEMS, 2020, 25 (03) : 345 - 368
  • [33] Improved Dynamical Particle Swarm Optimization Method for Structural Dynamics
    Annicchiarico, W. D.
    Cerrolaza, M.
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [34] Parameter Identification of Hysteresis Model with Improved Particle Swarm Optimization
    Ye, Meiying
    Wang, Xiaodong
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 415 - +
  • [35] Dynamic Modeling and Load Identification of Industrial Robot Using Improved Particle Swarm Optimization
    Tao, Jieyu
    Ye, Bosheng
    Xie, Yuanlong
    Tang, Xiaoqi
    Song, Bao
    2018 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2018, : 75 - 80
  • [36] Infinitive Impulse Response system identification using an improved particle swarm optimization algorithm
    Zou, De-Xuan
    Deb, Suash
    Wang, Gai-Ge
    2015 SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MACHINE INTELLIGENCE (ISCMI), 2015, : 1 - 8
  • [37] IIR System Identification Using Particle Swarm Optimization with Improved Inertia Weight Approach
    Saha, S. K.
    Mandal, D.
    Kar, R.
    Saha, Mallika
    Ghoshal, S. P.
    2012 THIRD INTERNATIONAL CONFERENCE ON EMERGING APPLICATIONS OF INFORMATION TECHNOLOGY (EAIT), 2012, : 43 - 46
  • [38] An Improved Particle Swarm Optimization
    Wu, Li-kun
    Zhou, Jian
    COMPUTER SCIENCE AND TECHNOLOGY (CST2016), 2017, : 689 - 695
  • [39] An Improved Particle Swarm Optimization
    Yang, Qin
    Wang, Danyang
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 2168 - 2172
  • [40] Vibration-based structural damage detection technique using particle swarm optimization with incremental swarm size
    Maiti, D. K. (dkmaiti@aero.iitkgp.ernet.in), 1600, Korean Society for Aeronautical and Space Sciences (13):
12345