• DocumentCode
    3511772
  • Title

    Case studies on vibration based damage identification: Multi-criteria approach

  • Author

    Chan, T.H.T. ; Shih, H.W. ; Thambiratnam, D.P.

  • Author_Institution
    Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    1242
  • Lastpage
    1247
  • Abstract
    Vibration based damage identification methods examine the changes in primary modal parameters or quantities derived from modal parameters. As one method may have advantages over the other under some circumstances, a multi-criteria approach is proposed. Case studies are conducted separately on beam, plate and plate-on-beam structures. Using the numerically simulated modal data obtained through finite element analysis software, algorithms based on flexibility and strain energy changes before and after damage are obtained and used as the indices for the assessment of the state of structural health. Results show that the proposed multi-criteria method is effective in damage identification in these structures.
  • Keywords
    beams (structures); condition monitoring; failure analysis; finite element analysis; flaw detection; modal analysis; plates (structures); structural engineering; vibrations; finite element analysis software; modal parameters; multicriteria approach; plate-on-beam structures; structural health assessment; vibration-based damage identification method; Algorithm design and analysis; Analytical models; Australia; Capacitive sensors; Finite element methods; Frequency estimation; Modal analysis; Numerical simulation; Shape measurement; Software algorithms; bridges; damage detection; finite element technique; modal analysis; modal flexibility; modal strain energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5270044
  • Filename
    5270044