• DocumentCode
    2459546
  • Title

    An Adaptive Chromosome Technique of Genetic Algorithms to Identify Structural Damage

  • Author

    Pan, Dan-Guang ; Lei, Su-Su ; Wu, Shun-Chuan

  • Author_Institution
    Dept. of Civil Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    482
  • Lastpage
    486
  • Abstract
    In order to identify the damage location and extent of large-scale civil engineering structures, an adaptive chromosome technique of genetic algorithms (GA) is proposed. The technique utilizes real number coding to design chromosomes, each damage element is described by such a gene pair that includes damage element number and damage extent. Then, the individual chromosome will increase one pair of gene in the next cycle of GA. It will not present new damage elements unless the number of gene pairs of chromosomes exceed the real number of damage elements. The actual damage element would be coincided for the converged chromosomes of adjacent iteration steps of GA, which is used to decide damage locations and damage extents. The main advantage of the method is that the length of individual chromosome is only decided by the number of damage elements, but nothing to do with the total number of structure elements. Thus, it reduces the number of design genes and makes the GA converge fast. At last, a numerical example of 10-bar truss shows that the method can accurately identify the damage location, with less error of damage extent estimation.
  • Keywords
    condition monitoring; genetic algorithms; structural engineering; GA; adaptive chromosome technique; damage extent estimation; damage locations; genetic algorithms; largescale civil engineering structures; structural damage identification; Biological cells; Encoding; Finite element methods; Frequency measurement; Gallium; Optimization; Vibrations; adaptive chromosome; estimation of damage; genetic algorithms; locating damage; structures of civil engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.125
  • Filename
    5709129