ISSN: 1945-7553
CODEN: JTEVAB
Published Online: 1 December 2011
Page Count: 9

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

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.

Keywords:
NDT, infrastructure, airport pavement, ASR, diagnostics, delamination, deterioration

Paper ID: JTE103765
DOI: 10.1520/JTE103765
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