• DocumentCode
    3354913
  • Title

    Damage Detection for Truss Structures Using Incomplete Modes

  • Author

    Yang, Q.W. ; Jin, W.M.

  • Author_Institution
    Dept. of Civil Eng., Shaoxing Univ., Shaoxing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    This paper presents a damage detection method for truss structures using incomplete measured modes. The underlying principle of the proposed technique is to add known masses to the physical structure, measure the natural frequencies of this mass-modified system, and then use this set of new data as well as the original test data to identify damages with the help of eigenvalue perturbation method. Regardless of whether the structure is unsymmetrical or symmetrical, the proposed method can precisely identify damages of truss structures only by changes of the first few natural frequencies. The method has the practical attraction of only requiring information about the changes in a few of the eigenvalues between the undamaged and damaged states. A plane truss structure is used as a numerical example to demonstrate the feasibility of the proposed scheme. Results show that the presented method can successfully detect both the location and extent of damage in the truss structure even if the noisy data inevitably make the damage detection more difficult.
  • Keywords
    eigenvalues and eigenfunctions; frequency measurement; structural engineering; supports; damage detection method; eigenvalue perturbation method; incomplete measured modes; mass-modified system; natural frequency measurement; plane truss structure; truss structures; Civil engineering; Computer science; Damping; Eigenvalues and eigenfunctions; Finite element methods; Frequency measurement; Perturbation methods; Q measurement; Shape; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.643
  • Filename
    5403460