• DocumentCode
    3009077
  • Title

    Element Damage Detection of Steel Truss Structure Based on the Method of Wavelet Transformation

  • Author

    Limei, Zhang ; Li Qilian ; Yue, Zhang ; Du Shoujun ; Weiran, Liu

  • Author_Institution
    Civil Eng. & Archit., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    891
  • Lastpage
    895
  • Abstract
    Damages exist in every truss structure during long using process, so it´s necessary to find the damages of using structures promptly avoiding collapse. Pole elements are the main members of steel truss structures, and the damage of these structures often appear pole elements, so the element damage information not node damage information must be adopted to judge the damage location. On the other hand, damages represent changes of the structural local properties, while wavelet transformation analysis can indicate the structural local properties in time domain and frequency domain. Strain mode differences are the sensitive parameters to the truss structure, therefore the wavelet transformation analysis base of strain mode differences can be used to define the element damage location of steel truss structure in this paper. The results show that this method can be used to determine element damage location of the truss structure and these were valuable to the practical project.
  • Keywords
    condition monitoring; steel; structural engineering; supports; time-domain analysis; wavelet transforms; damage location; steel truss structure; strain mode differences; structural damage detection; time-frequency domain analysis; wavelet transformation analysis; Finite element methods; Numerical models; Steel; Strain; Wavelet analysis; Wavelet transforms; element damage; steel truss structure; strain mode difference; wavelet transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.228
  • Filename
    5631364