• DocumentCode
    2822815
  • Title

    Structural damage identification based on information fusion technology

  • Author

    Diao, Yansong ; Tong, Xianneng

  • Author_Institution
    Sch. of Civil Eng., Qingdao Technol. Univ., Qingdao, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    6841
  • Lastpage
    6844
  • Abstract
    In order to improve the accuracy of structural damage identification, information fusion technology is introduced into structural damage identification. Firstly, the stiffness matrix damage factor iterative method and modal strain energy method are used to identify the structural damage, and give the decision vectors respectively. Then, the decision vectors are imported into the D-S evidence theory formula or the Bayes theory formula, the damage probability of every element would be obtained and the damage location would be determined finally. Numerical simulation of plane truss and model experiments of offshore platform show that the results of structural damage identification are more accurate and reliable after the information fusion techniques is used.
  • Keywords
    Bayes methods; decision making; elasticity; iterative methods; offshore installations; probability; sensor fusion; structural engineering; supports; Bayes theory formula; D-S evidence theory formula; damage location; damage probability; decision vectors; information fusion technology; iterative method; modal strain energy method; numerical simulation; offshore platform; plane truss; stiffness matrix damage factor; structural damage identification; Civil engineering; Communication cables; Monitoring; Neural networks; Oceans; Presses; Strain; Bayes Theory; D-S evidence theory; information fusion; structural damage identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988619
  • Filename
    5988619