• DocumentCode
    505027
  • Title

    High accurate detection of inclined cracks in concrete structures using an acceleration pickup

  • Author

    Miyoshi, Shozou ; Okamoto, Masayuki ; Tanaka, Shogo

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Yamaguchi Univ., Ube, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    2321
  • Lastpage
    2326
  • Abstract
    The present paper proposes a method for the detection of inclined cracks in concrete using an acceleration pickup. The sensor on the concrete surface observes the stationary waves inside the structure whose frequencies depend on the distance to the crack. The method can recognize the profile of the inclined crack with a high accuracy by the following two procedures. The 1st procedure : we model the sensor output as an output of a linear dynamic system with an unknown parameter and measure the accurate propagation distance from the sensor to the crack by applying a maximum likelihood method at each inspection point. The 2nd procedure : we apply a least squares method considering the reflection efficiency of the elastic waves at the inclined crack and the directivity characteristic of the sensor.
  • Keywords
    acceleration; concrete; crack detection; least squares approximations; maximum likelihood estimation; nondestructive testing; structural engineering; acceleration pickup; concrete structures; crack detection; elastic waves; least squares method; linear dynamic system; maximum likelihood method; nondestructive inspection; reflection efficiency; sensors; stationary waves; Acceleration; Concrete; Frequency; Inspection; Least squares methods; Maximum likelihood detection; Sensor phenomena and characterization; Sensor systems; Surface cracks; Surface waves; acceleration pickup; inclined crack; linear dynamic model; maximum likelihood method; non-destructive inspection; stationary waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5335150