Technical Papers
Aug 11, 2014

Method for Analyzing Time-Series GPR Data of Concrete Bridge Decks

Publication: Journal of Bridge Engineering
Volume 20, Issue 6

Abstract

Ground-penetrating radar (GPR) has been extensively studied in North America as a nondestructive evaluation (NDE) technology for inspection of concrete bridge decks. With current practices, however, GPR has only proven to be an indicator of potential damage. Basically, to obtain the condition map for a concrete bridge deck, one would try to analyze one-time GPR data based mostly on the relative difference between reflection amplitudes at the top rebar layer. With a hypothesis that time-series GPR data can provide better information on bridge deck deterioration progression, this study investigates and proposes a new method to interpret those time-series data sets. Based on a correlation coefficient between A-scans, the proposed methodology was implemented and validated for a bare concrete bridge deck in New Jersey. The map provided by the proposed method clearly shows deterioration progression between the two consecutive scans, whereas the traditional analysis technique using the top rebar amplitude suggests unreasonable improvement of the deck condition over time.

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Acknowledgments

The authors of this paper thank the Ministry of Transportation of Québec and Mitacs for their funding and support of this study. Also, they wish to thank Mr. John Tate, Warren County Department of Public Safety, who authorized their entry to the field for data collection.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 20Issue 6June 2015

History

Received: Oct 29, 2013
Accepted: Jul 21, 2014
Published online: Aug 11, 2014
Published in print: Jun 1, 2015

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Authors

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Ph.D. Candidate, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montréal, QC, Canada H3G 1M7 (corresponding author). E-mail: [email protected]
Tarek Zayed, M.ASCE [email protected]
Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montréal, QC Canada H3G 2W1. E-mail: [email protected]
Francisco Romero [email protected]
President/Owner, Romero NDT & E, 134 Hockenbury Dr., Glen Gardner, NJ 08826. E-mail: [email protected]
Alexander Tarussov [email protected]
President, Radex Detection, Inc., 353 St-Nicolas, Ste. 001, Montréal, QC, Canada H2Y 2P1. E-mail: [email protected]

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