• Title of article

    Application of the modified damage index method to timber beams

  • Author/Authors

    Choi، نويسنده , , F.C. and Li، نويسنده , , J. and Samali، نويسنده , , B. and Crews، نويسنده , , K.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    22
  • From page
    1124
  • To page
    1145
  • Abstract
    In this paper the use of two existing algorithms developed for global nondestructive evaluation to locate and evaluate localised damage in timber beams is investigated using a finite element model. These damage localisation algorithms were found, through this investigation, not to be effective in locating multiple damage scenarios and unable to evaluate the severity of damage. Hence, modifications on damage index algorithms as well as a hybrid algorithm are proposed to overcome the problems. In this study, experimental modal analysis (EMA) was used as a tool to extract mode shapes for calculating the damage index in the proposed method which utilises changes in modal strain energy between the undamaged and the damaged timber beam model. The modified damage index (MDI) method normalises the mode shape curvature and the hybrid algorithm combines the modified damage index and changes in flexibility algorithms which reflect the changes of natural frequency and mode shape. Analytical evaluations were performed to compare and verify the ability of original and modified damage localisation algorithms in locating single and multiple damage in timber beams. The modified damage index (MDI) algorithm and the hybrid damage algorithm are also used in the experimental studies to validate the effectiveness of the methods to locate and evaluate damage within timber beams by laboratory experiments.
  • Keywords
    Damage localisation , Severity estimation , Timber beam , Finite element method , Experimental modal analysis , Modified damage index
  • Journal title
    Engineering Structures
  • Serial Year
    2008
  • Journal title
    Engineering Structures
  • Record number

    1642906