• DocumentCode
    501555
  • Title

    A new method based on matrix perturbation and improved residual force vector for structural damage detection

  • Author

    Bo, Wang ; Wei, He

  • Author_Institution
    Sch. of Water Conservancy & Environ., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    In order to improve the accuracy of damage detection result and increase the computational efficiency, a new method for structural damage detection based on the perturbation of frequency and improved residual force vector (IRFV) was studied. The equation of structural damage identification based on the changes of frequency was derived from matrix perturbation theory. And the differences of residual force vector were calculated between damaged and original structure with the same order to form IRFV which was sensitive to damaged elements. The possible damage location was obtained by IRFV preliminarily. Then the damage extent was calculated from the perturbation of frequency which was tested more accurately. The examples prove that the proposed method is efficient and precise for damage detection.
  • Keywords
    failure analysis; flaw detection; maintenance engineering; matrix algebra; structural engineering; vectors; frequency perturbation; improved residual force vector; matrix perturbation method; structural damage detection; structural damage identification; Civil engineering; Equations; Finite element methods; Frequency; Helium; Noise measurement; Noise shaping; Shape measurement; Testing; Water conservation; frequency; improved residual force vector; perturbation; structural damage identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234755
  • Filename
    5234755