Structural damage detection based on Chaotic Artificial Bee Colony algorithm

被引：0
|
作者：
Xu, H. J. [1 ]
Ding, Z. H. [1 ]
Lu, Z. R. [1 ]
Liu, J. K. [1 ]
机构：
[1] Sun Yat Sen Univ, Dept Appl Mech & Engn, Guangzhou 510275, Guangdong, Peoples R China
来源：
STRUCTURAL ENGINEERING AND MECHANICS | 2015年 / 55卷 / 06期
基金：
中国国家自然科学基金;
关键词：
damage detection; Chaotic Artificial Bee Colony algorithm; modal assurance criteria; coupled double-beam system; SYSTEM-IDENTIFICATION; NATURAL FREQUENCIES; GENETIC ALGORITHM; OPTIMIZATION; STRATEGY; LOCATION;
D O I：
10.12989/sem.2015.55.6.1223
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A method for structural damage identification based on Chaotic Artificial Bee Colony (CABC) algorithm is presented. ABC is a heuristic algorithm with simple structure, ease of implementation, good robustness but with slow convergence rate. To overcome the shortcoming, the tournament selection mechanism is chosen instead of the roulette mechanism and chaotic search mechanism is also introduced. Residuals of natural frequencies and modal assurance criteria (MAC) are used to establish the objective function, ABC and CABC are utilized to solve the optimization problem. Two numerical examples are studied to investigate the efficiency and correctness of the proposed method. The simulation results show that the CABC algorithm can identify the local damage better compared with ABC and other evolutionary algorithms, even with noise corruption.
引用
收藏
页码：1223 / 1239
页数：17
相关论文
共 50 条
  • [31] Application of Artificial Bee Colony Algorithm in Blind Source Separation of Chaotic Signals
    Chen, Yue
    Li, Yong
    Li, Shuoming
    2014 IEEE 7TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC), 2014, : 527 - 531
  • [32] An improved artificial bee colony algorithm with chaotic random number for numerical optimizations
    Chang, Wei-Der
    Pan, Shan-Cheng
    Ku, Cheng-Hua
    ICIC Express Letters, Part B: Applications, 2015, 6 (09): : 2345 - 2352
  • [33] Modified Naive Bayes Algorithm for Network Intrusion Detection based on Artificial Bee Colony Algorithm
    Yang, Juan
    Ye, Zhiwei
    Yan, Lingyu
    Gu, Wei
    Wang, Ruoxi
    PROCEEDINGS OF THE 2018 IEEE 4TH INTERNATIONAL SYMPOSIUM ON WIRELESS SYSTEMS WITHIN THE INTERNATIONAL CONFERENCES ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS (IDAACS-SWS), 2018, : 35 - 40
  • [34] A Multiobjective Artificial Bee Colony Algorithm based on Decomposition
    Peng, Guang
    Shang, Zhihao
    Wolter, Katinka
    IJCCI: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, 2019, : 188 - 195
  • [35] Archimedean spiral based artificial bee colony algorithm
    Sharma, Sonal
    Kumar, Sandeep
    Sharma, Kavita
    JOURNAL OF STATISTICS AND MANAGEMENT SYSTEMS, 2019, 22 (07) : 1301 - 1313
  • [36] Vector quantization based on the artificial bee colony algorithm
    Horng, Ming Huwi
    Jiang, Ting Wei
    ICIC Express Letters, 2011, 5 (8 B): : 2881 - 2887
  • [37] Artificial bee colony algorithm based on knowledge fusion
    Hui Wang
    Wenjun Wang
    Xinyu Zhou
    Jia Zhao
    Yun Wang
    Songyi Xiao
    Minyang Xu
    Complex & Intelligent Systems, 2021, 7 : 1139 - 1152
  • [38] Clustering Algorithm Based on Artificial Bee Colony Optimization
    Zhang, Dandan
    Luo, Ke
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 : 126 - 131
  • [39] Artificial bee colony algorithm based on local search
    Liu, San-Yang
    Zhang, Ping
    Zhu, Ming-Min
    Kongzhi yu Juece/Control and Decision, 2014, 29 (01): : 123 - 128
  • [40] A Clustering-Based Artificial Bee Colony Algorithm
    Zhang, Ming
    Tian, Na
    Ji, Zhicheng
    Wang, Yan
    THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT I, 2016, 643 : 101 - 109
12345