• DocumentCode
    231316
  • Title

    Lamb wave tomography technique for crack damage detection

  • Author

    Wang Qiang ; Xu Jing

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Post & Telecommun., Nanjing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    3094
  • Lastpage
    3099
  • Abstract
    Lamb wave tomography technique is regarded as one of the most effective ways in nondestructive inspection and structural health monitoring (SHM), so that it has attracted lots of attentions. RAPID, namely Reconstruction Algorithm for the Probabilistic Inspection of Damage, is a new kind of tomography technology, which has the unparalleled advantage over other techniques and has simple tomographic parameters computation. However, traditional RAPID technique was not suitable for crack damage imaging. Since RAPID technique is based on the statistical correlation analysis, it is hard to detect the direction of the crack damage. In this paper, the improved RAPID algorithm is developed to detect the crack damage, especially for the crack direction monitoring. The proposed improved RAPID algorithm can determine the direction of the crack by correcting the SDC (signal difference coefficient) values of the sensing paths. The experiments were carried out to validate the improved method and the results shown that that it can detect and evaluate the crack damages effectively in the tomographic images.
  • Keywords
    acoustic tomography; condition monitoring; crack detection; statistical analysis; structural engineering; surface acoustic waves; Lamb wave tomography; RAPID algorithm; SHM; algorithm-for-the-probabilistic inspection-of-damage; crack damage detection; crack direction monitoring; nondestructive inspection; sensing paths; signal difference coefficient; statistical correlation analysis; structural health monitoring; tomographic imaging; Actuators; Dispersion; Image reconstruction; Monitoring; Sensors; Tomography; Lamb wave; RAPID; crack damage; structural health monitoring; tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895446
  • Filename
    6895446