Abstract
Non-destructive testing (NDT) to identify reinforced concrete deterioration is an important tool in the management and preservation of the nation’s bridge inventory. Presented is research conducted to better understand multi-modal NDT and its identification of reinforced concrete deterioration. The objectives were to better understand the relationships between the various NDT data, understand damage progression with time, and increase confidence in NDT. Statistical analyses were conducted of multi-modal NDT data collected on 12 bridge decks through the USA. The research identified that the NDT methods utilized are strongly interrelated and can help identify future deterioration.
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Acknowledgments
The authors would like to acknowledge the help of Arezoo Imani, Farhad Fetrat, Hooman Parvardeh, Sabine Krushchwitz, Shane Mott, Chris Mazzotta, Ken Lee, Francisco Romero, Erica Erlanger, Ronald Guillen, Insung Hwang, Daniel Guillen, Kevin Clark, Michael Morales, Rich Szatkowski, and Daniel Usher for their help in data collection. The authors are grateful to the Federal Highway Administration’s LTBP Program and the Iowa Department of Transportation for the data used in this study. The authors would also like to thank Nils Ferm for his help.
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Pailes, B.M., Gucunski, N. Understanding Multi-modal Non-destructive Testing Data Through the Evaluation of Twelve Deteriorating Reinforced Concrete Bridge Decks. J Nondestruct Eval 34, 30 (2015). https://doi.org/10.1007/s10921-015-0308-6
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DOI: https://doi.org/10.1007/s10921-015-0308-6