Article Article
Ground Penetrating Radar as a Quality Assurance Tool in Hot-Mix Asphalt Road Construction

Ground penetrating radar (GPR) is a nondestructive, rapid, and continuous measurement tool that can predict density in hot-mix asphalt. Despite the promise of GPR as a quality assurance (QA) tool, the technology has been slow to adoption. Significant hurdles include (1) whether the equipment can accurately predict density over several days of paving without constant recalibration, and (2) knowing which prediction models have the best precision and minimal bias. In this research, GPR was deployed on a paving project for three days. Air void content was predicted using both empirical and micromechanics models using different calibration methods. Overall, the empirical model had the lowest prediction error. Precision concerns with all models are mitigated by the sheer quantity of sampling possible with GPR. Bias problems may be resolved with daily testing of a reference material and, for the micromechanics model, by using more calibration cores. These topics should be explored in future research. When comparing the QA results to the GPR predictions, there was a disconnect between the pay factors assigned to the contractor based on random sampling and theoretical pay factors from the air void distributions measured by the GPR. This disconnect highlights how risks in the acceptance decision-making process could be reduced with increased sampling. A laboratory mixture sensitivity study was also conducted. The GPR signal was sensitive to air voids and aggregate type, but not to asphalt content. In practice, on a given project, the dielectric is almost exclusively sensitive to air voids. GPR could revolutionize QA testing in road construction by reducing acceptance risk, improving safety, and decreasing project delivery time.

DOI: https://doi.org/10.32548/2020.me-04140

References

Al-Qadi, I., 1992, “Using Microwave Measurements to Detect Moisture in Asphaltic Concrete,” Journal of Testing and Evaluation, Vol. 20, No. 1, pp. 43–50.

Al-Qadi, I., Z. Leng, and A. Larkin, 2011, “In-Place Hot Mix Asphalt Density Estimation Using Ground Penetrating Radar,” ICT Report No. 11-096, University of Illinois at Urbana-Champaign Advanced Transportation Research and Engineering Laboratory.

Alderson, A., 2011, “The Influence of Compaction on the Performance of Dense Graded Asphalt,” Report No. AP-T194-11, Austroads, Sydney, Australia.

ASTM, 2014, ASTM E177-14: Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods, ASTM International, West Conshohocken, PA.

Choubane, B., P.B. Upshaw, G.A. Sholar, G.C. Page, and J.A. Musselman, 1998, “Nuclear Density Readings and Core Densities: A Comparative Study,” Report No. FL/DOT/SMO/98-418, Florida Department of Transportation, Gainesville, FL.

Crockford, B., F. Gu, S. Im, A. Joshaghani, W. Liu, X. Luo, R. Lytton, Y. Rew, S. Sebesta, and B.T. Wilson, 2019, “Develop Rapid Quality Control and Assurance Technologies for Pavements: Phase II Report,” Report No. FHWA/TX-19/0-6874-2, Texas A&M Transportation Institute, College Station, TX.

Dai, S., K. Hoegh, and L. Khazanovich, 2017, “Asphalt Compaction Evaluation Using Rolling Density Meter – MnDOT Experience,” RDM User-Group Webinar, 20 July 2017.

del Pilar Vivar, E., and J.E. Haddock, 2006, “HMA Pavement Performance and Durability,” Report No. FHWA/IN/JTRP-2005/14, Purdue University, Lafayette, IN.

Hoegh, K., S. Dai, T. Steiner, and L. Khazanovich, 2018, “Enhanced Model for Continuous Dielectric-Based Asphalt Compaction Evaluation,” Transportation Research Record, Vol. 2672, No. 26, pp. 144–154.

Linden, R.N., J.P. Mahoney, and N.C. Jackson, 1989, “Effect of Compaction on Asphalt Concrete Performance,” Transportation Research Record, Vol. 1217, pp. 20–28.

Lytton, R.L., 1995, “System Identification and Analysis of Subsurface Radar Signals,” T.A.M. University, Licensed to Lyric Technologies Inc., Houston, TX.

Lytton, R.L., 2000, “Characterizing Asphalt Pavements for Performance,” Transportation Research Record, Vol. 1723, No. 1, pp. 5–16.

Lytton, R.L., 2011, “Use of Ground Penetrating Radar in Construction Quality Assurance and Quality Control,” Proceedings of IX Congreso Internacional de Ingenieria Civil, Universidad Autonamo de Queretaro, Queretary, Mexico.

Maser, K.R., and A. Carmichael, 2014, “Mapping the Density of New Asphalt Pavement with GPR,” BSCES News, April 2014.

Maser, K.R., and A. Carmichael, 2015, “Ground Penetrating Radar Evaluation of New Pavement Density,” Report No. WA-RD 839.1, Washington State Department of Transportation, Olympia, WA.

NASEM (National Academies of Sciences, Engineering, and Medicine), 2012, “Using Infrared and High-Speed Ground-Penetrating Radar for Uniformity Measurements on New HMA Layers,” SHPR 2 Report S2-R06C-RR-1, The National Academies Press, Washington, DC.

Popik, M., K. Maser, D. Hein, G. Greene, and H. Lee, 2009, “Using High-Speed Ground Penetrating Radar for Evaluation of Asphalt Density Measurements,” Toronto, ON, Canada.

Saarenketo, T., 1997, “Using Ground-Penetrating Radar and Dielectric Probe Measurements in Pavement Density Quality Control,” Transportation Research Record, Vol. 1575, No. 1, pp. 34–41.

Sebesta, S.D., and T. Scullion, 2002, “Using Infrared Imaging and Ground-Penetrating Radar to Detect Segregation in Hot-Mix Overlays,” Report No. FHWA/TX-03/4126-1, Texas Transportation Institute, Texas A&M University System, College Station, TX.

Silvast, M., 2001, “Air Void Content Measurement Using GPR Technology at Helsinki-Vantaa Airport, Runway No. 3,” Survey Report, Roadscanners, Finland.

Stroup-Gardiner, M., and E.R. Brown, 2000, “Segregation in Hot-Mix Asphalt Pavements,” NCHRP Report 441, National Cooperative Highway Research Program, Washington, DC.

TxDOT, 2016a, Tex-201-F: Test Procedure for Bulk Specific Gravity and Water Absorption of Aggregate, Texas Department of Transportation, effective January 2016–December 2019.

TxDOT, 2016b, Tex-207-F: Test Procedure for Determining Density of Compacted Bituminous Mixtures, Texas Department of Transportation, effective November 2016–June 2019.

TxDOT, 2016c, Tex-227-F: Test Procedure for Theoretical Maximum Specific Gravity of Bituminous Mixtures, Texas Department of Transportation, effective March 2016–June 2019.

TxDOT, 2018, Tex-236-F: Determining Asphalt Content from Asphalt Paving Mixtures by the Ignition Method, Texas Department of Transportation, effective January 2018–June 2019.

Wilson, B.T., and S. Sebesta, 2015, “Comparison of Density Tests for Thin Hot-Mix Asphalt Overlays,” Transportation Research Record, Vol. 2504, No. 1, pp. 148–156.

Zhao, S., P. Shangguan, and I.L. Al-Qadi, 2015 “Application of Regularized Deconvolution Technique for Predicting Pavement Thin Layer Thicknesses from Ground Penetrating Radar Data,” NDT&E International, Vol. 73, pp. 1–7.

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