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Abstract

Assessment of Pavement Structural Conditions Using a Ground-Penetrating Radar †

School of Environmental, Civil, Agricultural, and Mechanical Engineering, College of Engineering, The University of Georgia, Athens, GA 30602, USA
Presented at the 1st International Online Conference on Infrastructures, 7–9 June 2022; Available online: https://ioci2022.sciforum.net/.
Eng. Proc. 2022, 17(1), 1; https://doi.org/10.3390/engproc2022017001
Published: 10 May 2022
(This article belongs to the Proceedings of The 1st International Online Conference on Infrastructures)
Ground-penetrating radar (GPR) technology has been widely applied in ground subsurface investigations. Since 1980s, GPR technology has become a well-established technique for pavement performance evaluation. The analysis of GPR data provides rich information on the layer depths of pavement structures, material conditions, moisture content, voids, and locations of reinforcement and other features. The capability to accurately and reliably assess the subsurface conditions of pavement structure is essential to investigate both functional and structural deficiencies of pavements and their associated causalities resulting in the most cost-effective maintenance and rehabilitation treatments. The overall goal of this study is to extend GPR technology in combination with modern data analytics to provide improved pavement investigation methodology. In this study, an analytical approach to estimate field subgrade density is presented, which is critical for the diagnosis of pavement foundation failure [1,2].

Funding

The work presented in this paper is part of a research project (RP 19–21) sponsored by the Georgia Department of Transportation (GDOT). The contents of this paper reflect the views of the authors, who are solely responsible for the facts and accuracy of the data, opinions, and conclusions presented herein. The contents may not reflect the views of the funding agency or other individuals.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the many GDOT personnel that assisted with this study. A special thanks to Ian Rish, P.E., GDOT State Pavement Engineer.

Conflicts of Interest

The author declares no conflict of interest. The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

References

  1. Abdelmawla, A.M.; Durham, S.A.; Kim, S. Estimation of Subgrade Soil Density Using Ground Penetrating Radar. In Proceedings of the 2019 ICSC Conference, Seoul, Korea, 17–19 July 2019. [Google Scholar]
  2. Abdelmawla, A.; Kim, S. Application of Ground Penetrating Radar to Estimate Subgrade Soil Density. Infrastructures 2020, 5, 12. [Google Scholar] [CrossRef] [Green Version]
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Share and Cite

MDPI and ACS Style

Kim, S.S. Assessment of Pavement Structural Conditions Using a Ground-Penetrating Radar. Eng. Proc. 2022, 17, 1. https://doi.org/10.3390/engproc2022017001

AMA Style

Kim SS. Assessment of Pavement Structural Conditions Using a Ground-Penetrating Radar. Engineering Proceedings. 2022; 17(1):1. https://doi.org/10.3390/engproc2022017001

Chicago/Turabian Style

Kim, S. Sonny. 2022. "Assessment of Pavement Structural Conditions Using a Ground-Penetrating Radar" Engineering Proceedings 17, no. 1: 1. https://doi.org/10.3390/engproc2022017001

APA Style

Kim, S. S. (2022). Assessment of Pavement Structural Conditions Using a Ground-Penetrating Radar. Engineering Proceedings, 17(1), 1. https://doi.org/10.3390/engproc2022017001

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