Correlation Analysis of 2D Tomographic Images for Flaw Detection in Pavements

    Volume 40, Issue 2 (March 2012)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 1 December 2011

    Page Count: 9


    Hoegh, Kyle
    Graduate Research Assistant, Dept. of Civil Engineering, University of Minnesota, Minneapolis, MN

    Khazanovich, Lev
    Associate Professor, Dept. of Civil Engineering, University of Minnesota, Minneapolis, MN

    (Received 11 January 2011; accepted 1 November 2011)

    Abstract

    Ultrasonic tomography is an emerging method of nondestructive concrete pavement diagnostics which can be used for improved quality assurance/quality control during concrete pavement construction and assist in rehabilitation decision making. Detection of flaws using ultrasonic tomography requires significant effort and user expertise. To address these limitations, a quantitative method for determining the presence of defects in concrete pavements was developed. The proposed method is an adaptation of the recently developed impact-echo signature analysis method (IESA), which is used for comparison of impact-echo signals. The proposed two-dimensional ultrasonic tomography signature analysis (2D-UTSA) method was used to compare two-dimensional B-scans obtained using a commercial test system in field trials at the Minnesota Rd. Research Facility and the Federal Aviation Administration’s National Airport Pavement Test Facility. Analysis of the results showed that the 2D-UTSA method is capable of identifying subsurface defects.


    Paper ID: JTE103765

    DOI: 10.1520/JTE103765

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    Author
    Title Correlation Analysis of 2D Tomographic Images for Flaw Detection in Pavements
    Symposium , 0000-00-00
    Committee E07