• DocumentCode
    2429698
  • Title

    Detection of structural defects in pipes using time reversal of guided waves

  • Author

    O´Donoughue, Nicholas ; Harley, Joel ; Moura, JoséM F. ; Jin, Yuanwei

  • Author_Institution
    Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    1683
  • Lastpage
    1686
  • Abstract
    Structural health monitoring of buried pipelines is of vital importance as infrastructures age. Ultrasonic guided waves are a popular method for inspecting buried pipes, due to their potential for long propagation. Unfortunately, the large number of wave modes present, and the effects of dispersion, in a pipeline make analysis of the received signals difficult. We plan to use Time Reversal Acoustics to compensate for these complex signals, and improve performance for the detection of faults in a pipeline. We will present theoretical performance results for conventional and Time Reversal detectors, verified with simulations conducted in PZFlex. Time Reversal shows a potential for a reduction in the power requirements of a fault detection system.
  • Keywords
    acoustic signal detection; fault diagnosis; inspection; pipes; structural engineering; ultrasonic propagation; ultrasonic waves; buried pipe defect detection; complex signal compensation; fault detection system; structural health monitoring; time reversal detectors; ultrasonic guided wave time reversal acoustics; Acoustic propagation; Acoustic signal detection; Detectors; Dispersion; Fault detection; Frequency; Natural gas; Pipelines; Thin wall structures; Transducers; PZFlex; Time Reversal; buried pipelines; dispersion; structural health monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-5825-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2009.5469779
  • Filename
    5469779