Combined Imaging Technologies for Concrete Bridge Deck Condition Assessment
Publication: Journal of Performance of Constructed Facilities
Volume 29, Issue 4
Abstract
Evaluating the condition of concrete bridge decks is an increasingly important challenge for transportation agencies and bridge inspection teams. Closing the bridge to traffic, safety, and time consuming data collection are some of the major issues during a visual or in-depth bridge inspection. To date, several nondestructive testing technologies have shown promise in detecting subsurface deteriorations. However, the main challenge is to develop a data acquisition and analysis system to obtain and integrate both surface and subsurface bridge health indicators at higher speeds. Recent developments in imaging technologies for bridge decks and higher-end cameras allow for faster image collection while driving over the bridge deck. This paper will focus on deploying nondestructive imaging technologies such as the three-dimensional (3D) optical bridge evaluation system (3DOBS) and thermal infrared (IR) imagery on a bridge deck to yield both surface and subsurface indicators of condition, respectively. Spall and delamination maps were generated from the optical and thermal IR images. Integration of the maps into ArcGIS, a professional geographic information system (GIS), allowed for a streamlined analysis that included integrating and combining the results of the complimentary technologies. Finally, ground truth information was gathered through coring several locations on a bridge deck to validate the results obtained by nondestructive evaluation. This study confirms the feasibility of combining the bridge inspection results in ArcGIS and provides additional evidence to suggest that thermal infrared imagery provides similar results to chain dragging for bridge inspection.
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Acknowledgments
This work is supported as part of a larger program (Bridge Condition Assessment Using Remote Sensors) sponsored by the Commercial Remote Sensing and Spatial Information program of the Research and Innovative Technology Administration (RITA), U.S. Department of Transportation (USDOT), Cooperative Agreement # DTOS59-10-H-00001, with additional support provided by the Michigan Department of Transportation, the Michigan Tech Transportation Institute, the Michigan Tech Research Institute, and the Center for Automotive Research. The views, opinions, findings, and conclusions reflected in this paper are the responsibility of the authors only and do not represent the official policy or position of the USDOT/RITA, or any state or other entity. Further information regarding remote sensing technologies and the decision support system for bridge condition assessment and about this project can be found at www.mtti.mtu.edu/bridgecondition. In addition, the authors would like to acknowledge Dr. Larry Sutter for helping in identifying the critical locations for coring tests and Richard Dobson for providing a significant contribution in collecting 3DOBS results.
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© 2014 American Society of Civil Engineers.
History
Received: Nov 7, 2012
Accepted: Apr 18, 2013
Published online: Apr 20, 2013
Discussion open until: Jan 26, 2015
Published in print: Aug 1, 2015
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