Rational Condition Assessment of RC Bridge Decks Subjected to Corrosion-Induced Delamination
Publication: Journal of Materials in Civil Engineering
Volume 30, Issue 1
Abstract
Precise evaluation of the condition of RC bridge decks, particularly for corrosion-induced delaminations, is decisive for ensuring bridge performance and safety. Although infrared thermography (IRT) and ground penetrating radar (GPR) have considerably aided this task, cogent procedures for deciphering their data have yet to be developed. Postprocessing of IRT and GPR data still relies on user interpretation to construe quantitative appraisal of subsurface anomalies, where predefined threshold values are arbitrarily selected. Such a subjective analysis can produce inconsistent results. The present study proposes a robust procedure for analysing IRT and GPR test data and uniting their results. A mosaicked thermogram of the entire bridge deck from thermal images was created using custom-developed codes, whereas the numerical amplitude method was used to analyze GPR data. To identify objective thresholds, the k-means clustering function was used. Accordingly, condition maps of bridge decks delineating different severity levels of delamination and potential active corrosion could be generated. The analyzed IRT and GPR data were then integrated to develop an overall bridge-deck condition map. The proposed procedure was instigated to analyze thermal and radar data acquired from two full-scale RC bridge decks. It is shown that rationally integrating IRT and GPR results offers a superior tool for detecting subsurface anomalies in bridge decks. Thus, it could enhance bridge-deck inspection programs, allowing stakeholders to optimize budgets and prioritize maintenance, repair, and rehabilitation efforts.
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Acknowledgments
The authors wish to thank Rob Milner and Manny Alsaid from FLIR Canada for providing the thermal camera used to scan the bridge in Montreal. We are also grateful to Alex Tarussov, President of Radex Detection Inc. for providing the GPR raw data for the bridge in Montreal. The Quebec Ministry of Transportation and the Wisconsin DOT are acknowledged for permission to use their bridge data. Our thanks go to Ken Maser, Senior Principal of Infrasense, for providing the IRT and GPR raw data for the bridge in Wisconsin.
References
AASHTO. (2011). Manual for bridge evaluation, 2nd Ed., Washington, DC.
AASHTOWare version 5.2.3 [Computer software]. AASHTO, Washington, DC.
Abdel-Qader, I., Yohali, S., Abudayyeh, O., and Yehia, S. (2008). “Segmentation of thermal images for non-destructive evaluation of bridge decks.” J. NDT&E Int., 41(5), 395–405.
Alani, A., Aboutalebi, M., and Kilic, G. (2013). “Applications of ground penetrating radar (GPR) in bridge deck monitoring and assessment.” J. Appl. Geophys., 97(Oct), 45–54.
ArcGIS [Computer software]. ESRI, Toronto.
ASTM. (2010). “Standard test method for evaluating asphalt-covered concrete bridge decks using ground penetrating radar.” ASTM D6087-08, West Conshohocken, PA.
Barnes, C., Trottier, J., and Forgeron, D. (2008). “Improved concrete bridge deck evaluation using GPR by accounting for signal depth–amplitude effects.” J. NDT&E Int., 41(6), 427–433.
Brown, M., and Lowe, D. (2007). “Automatic panoramic image stitching using invariant features.” Int. J. Comput. Vis., 74(1), 59–73.
Chase, S., Adu-Gyamfi, Y., and Tunuguntla, P. (2015). “Bridge deck sub-surface defect detection using time-lapse thermography.” Proc., 94th Annual Meeting, Transportation Research Board, Washington, DC, 1–22.
Dinh, K., et al. (2014). “Clustering-based threshold model for condition assessment of concrete bridge decks using ground penetrating radar.” Proc., 93rd Annual Meeting, Transportation Research Board, Washington, DC, 1–11.
FLIR Tools+ [Computer software]. FLIR Systems, Inc., Nashua, NH.
Google Earth [Computer software]. Keyhole, Inc., Mountain View, CA.
Gucunski, N., et al. (2013). “Nondestructive testing to identify concrete bridge deck deterioration.” Proc., 92nd Annual Meeting, Transportation Research Board, Washington, DC, 96.
Infrasence IR [Computer software]. Infrasense, Inc., Woburn, MA.
Jain, A. (2010). “Data clustering: 50 years beyond K-means.” J. Pattern Recogn. Letters, 31(8), 651–666.
Jiang, S., and Zhang, C. (2009). “Design and implementation of a WEBGIS-based quality evaluation system for bridge construction.” Proc., 1st Int. Conf. on Information Science and Engineering (ICISE2009), 4257–4261.
Lounis, Z. (2013). “Critical concrete infrastructure: Extending the life of Canada’s bridge network.” Constr. Innovation, NRC, 18(1), 1–3.
Manning, D., and Holt, F. (1982). “Detecting delaminations in concrete bridge decks.” J. Concr. Int., 2(11), 1–8.
Martino, N., Birken, R., Maser, K., and Wang, M. (2014). “Developing a deterioration threshold model for assessment of concrete bridge decks using ground penetrating radar.” Proc., 93rd Annual Meeting, Transportation Research Board, Washington, DC, 1–10.
Maser, K., Martino, N., Doughty, J., and Birken, R. (2012). “Understanding and detecting bridge deck deterioration using ground penetrating radar.” Transp. Res. Rec., 2313, 116–123.
MATLAB [Computer software]. MathWorks, Natick, MA.
Melhem, H., and Cheng, Y. (2003). “Prediction of remaining service life of bridge decks using machine learning.” J. Comput. Civ. Eng., 17(1), 1–9.
Qianqian, W., Jinghai, L., and Youna, L. (2003). “Segmentation of infrared image using adaptive thresholding.” Proc., SPIE, 4925(1), 265–295.
RADAN version 7 [Computer software]. Geophysical Survey Systems, Inc., Nashua, NH.
ResearchIR [Computer software]. FLIR Systems, Inc., Nashua, NH.
Robert, M. (1982). “Science behind thermography-thermal infrared sensing for diagnostics and control.” J. Thermosense, 371, 2–9.
Tarussov, A., Vandry, M., and De La Haza, A. (2013). “Condition assessment of concrete structures using a new analysis method: Ground-penetrating radar computer-assisted visual interpretation.” J. Constr. Build. Mater., 38(Jan), 1246–1254.
Vaghefi, K., Ahlborn, T., Harris, D., and Brooks, C. (2015). “Combined imaging technologies for concrete bridge deck condition assessment.” J. Perform. Constr. Facil., 04014102.
Washer, G., Fenwick, R., and Nelson, S. (2013). “Guidelines for the thermographic inspection of concrete bridge components in shaded conditions.” Proc., 92nd Annual Meeting, Transportation Research Board, Washington, DC, 1–14.
Wu, X., Yao, H., Xie, D., and Xu, Z. (2012). “Developing of management information system of road and bridge infrastructure based on ArcGIS engine.” Proc., 2nd Int. Conf. Remote Sensing Environment and Transportation Engineering (RSETE), IEEE, New York, 1–3.
Yehia, S., Abudayyeh, O., Nabulsi, S., and Abdel-Qader, I. (2007). “Detection of common defects in concrete bridge decks using NDE techniques.” J. Bridge Eng., 215–225.
Zaki, A., Chai, H., Aggelis, D., and Alver, N. (2015). “Non-destructive evaluation for corrosion monitoring in concrete: A review and capability of acoustic emission technique.” J. Sensors, 15(8), 19069–19101.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 30 • Issue 1 • January 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Apr 13, 2017
Accepted: Jun 22, 2017
Published online: Nov 10, 2017
Published in print: Jan 1, 2018
Discussion open until: Apr 10, 2018
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