Ground Penetrating Radar’s (GPR) Imaging and Applications to Pavement Structural Assessment: a Case of Malaysia

Authors

  • Nurul Hidayah Muslim Universiti Teknologi Malaysia, Faculty of Civil Engineering, Johor, Malaysia Author
  • Mohamad Ibrahi Mohamed Universiti Teknologi Malaysia, Faculty of Civil Engineering, Johor, Malaysia Author
  • Zulkarnaini Mat Amin Universiti Teknologi Malaysia, Faculty of Science and Geomatic Engineering, Johor, Malaysia Author
  • Arezou Shafaghat Universiti Teknologi Malaysia, Center of Built Environment in the Malays World (KALAM) and Institute Sultan Iskandar (ISI), Faculty of Built Environment, Skudai, Johor, Malaysia Author
  • Mohammad Ismail Universiti Teknologi Malaysia, Faculty of Civil Engineering, Johor, Malaysia Author
  • Ali Keyvanfar Universiti Teknologi Malaysia, Center of Built Environment in the Malays World (KALAM) and Institute Sultan Iskandar (ISI), Faculty of Built Environment, Skudai, Johor, Malaysia Author

DOI:

https://doi.org/10.5604/01.3001.0010.0526

Keywords:

pavement, assessment pavements, geophysical tools, ground penetrating radar, GPR, REFLEX 2D software

Abstract

Traditionally, pavement distress evaluations were carried out by visual observation. Traditional practice requires a person to walk along the stretch of the pavement to conduct distress survey, take photo and measure defects occurred at deteriorated surfaces. However, this approach is too subjective, generates inconsistencies of information, less reliable and time-consuming. Due to these shortcomings, the transportation practitioners in pavement maintenance seek for other alternative tools and techniques to arrest incapability of traditional practices. One of the tools available in the market is Ground Penetrating Radar (GPR). GPR is a geophysical tool known by ability to accommodate extensive data in pavement assessment, geotechnical investigation and structural assessment. The application of GPR is such new to most of road maintenance industry in Malaysia. Therefore, this study has been undertaken to evaluate the benefits of using GPR imaging and its application in assessing pavement structures in Malaysia. The GPR survey was conducted in Meranti street located at UTM (Universiti Teknologi Malaysia) campus, and then analyzed using REFLEX 2D simulation software. The finding shows there are three (3) types of information obtained from GPR survey included; identification of raw image and processed image, identification of pavement segments thickness, and identification of GPR response towards surface and subsurface conditions, which illustrated in radargram images. Furthermore, the GPR can perform at high speed and can save time. It is also beneficial for long-term investment due to ability to provide extensive information at a greater depth. The research indicates that interpretation of GPR’s radargram images consumes time due to the low resolution. Therefore, selection of GPR system is subject to level of accuracy and clarity of radar images needed in a project.

References

ANDERSON, N., ISMAIL, A., 2003. A generalized protocol for selecting appropriate geophysical techniques. In Geophysical Technologies for Detecting Underground Coal Mine Voids Forum, 28-30.

BALA, D. C., JAIN, S. S., 2012. Practical Way To Identify The False Target Signatures In Gpr Images Of Ground Profile. i-Manager's Journal on Civil Engineering, 2(2), 28.

BENEDETTO, A., DE BLASIIS, M. R., 2010. Applications of Ground Penetrating Radar to road pavement: state of the art and novelties. In Paving Materials and Pavement Analysis, 412-419.

BENEDETTO, A., PENSA, S., 2007. Indirect diagnosis of pavement structural damages using surface GPR reflection techniques. Journal of Applied geophysics, 62(2), 107-123.

BENSON, R. C., 2000. An overview of geophysical and non-destructive methods for characterization of roads and bridges. In Use of Geophysical Methods in Construction, 1-14.

BERNAMA. 2012. Khazanah istimewa. PM gembira The New York isytihar Melaka destinasi perlu dikunjungi tahun ini. Harian Metro, 12.

COLAGRANDE, S., RANALLI, D., TALLINI, M., 2011. Ground penetrating radar assessment of flexible road pavement degradation. International Journal of Geophysics, 2011.

GROTE, K., HUBBARD, S., HARVEY, J., RUBIN, Y., 2005. Evaluation of infiltration in layered pavements using surface GPR reflection techniques. Journal of Applied Geophysics, 57(2), 129-153.

GRZYB, A., BRYK, K., DUDZIK, M., 2013. Mathematical model for vibrations analysis of the tram wheelset. Archives of Transport, 25 (1-2), 55-68.

HAUSMAN, J., BUTTLAR, W. (2002). Laboratory and field analysis of the TransTech Model 300 Pavement Quality Indicator (PQI) for determining asphalt pavement density. In Proceedings of the 2002 Transportation Research Board Annual Meeting, Washington DC.

HOLZSCHUHER, C., LEE, H. S., GREENE, J., 2007. Accuracy and Repeatability of Ground Penetrating Radar for Surface Layer Thickness Estimation of Florida Roadways. Florida DOT Report FL/DOT/SMO/07-505, Florida.

KEYVANFAR, A., MAJID, M. Z. A., SHAFAGHAT, A., LAMIT, H., TALAIEKHOZAN, A., HUSSIN, M. W., FULAZZAKY, M. A., 2014. Application of a grounded group decision-making (GGDM) model: a case of micro-organism optimal inoculation method in biological self-healing concrete. Desalination and Water Treatment, 52 (19-21), 3594-3599.

LAMIT, H. B., SHAFAGHAT, A., MAJID, M. Z., KEYVANFAR, A., AHMAD, M. H. B., MALIK, T. A., 2013. The Path Walkability Index (PAWDEX) Model: To Measure Built Environment Variables Influencing Residents' Walking Behavior. Advanced Science Letters, 19(10), 3017-3020.

LOIZOS, A., PLATI, C., 2007. Accuracy of pavement thicknesses estimation using different ground penetrating radar analysis approaches. NDT & e International, 40(2), 147-157.

MASER, K., VANDRE, B., 2006. Network-Level Pavement Structure Assessment Using Automated Processing of Ground Penetrating Radar (GPR) Data. In Airfield and Highway Pavement: Meeting Today's Challenges with Emerging Technologies, 719-728.

MDOT (2006). Mississippi Department of Transportation State Study Phase I – GPR Final Report.

MTAG (2003). Common Flexible Pavement Distress. Caltrans Department of Transportation. Maintenance

MUHAMMAD, N. Z., KEYVANFAR, A., MAJID, M. Z. A., SHAFAGHAT, A., MIRZA, J., 2015. Waterproof performance of concrete: A critical review on implemented approaches. Construction and Building Materials, 101, 80-90.

NAPA. 2008. Porous Asphalt Pavements for Stormwater Management: Design, construction and Maintenance Guide, IS-131, National Asphalt Pavement Association.

PLATI, C., LOIZOS, A. 2012. Using ground-penetrating radar for assessing the structural needs of asphalt pavements. Nondestructive Testing and Evaluation, 27(3), 273-284.

POIKAJÄRVI, J., PEISA, K., HERRONEN, T., AURSAND, P. O., MAIJALA, P., NARBRO, A., 2012. GPR in road investigations–equipment tests and quality assurance of new asphalt pavement. Nondestructive Testing and Evaluation, 27(3), 293-303.

SAARENKETO, T., 2006. Electrical properties of road materials and subgrade soils and the use of ground penetrating radar in traffic infrastructure surveys, PhD. Dissertations, Faculty of Science, Department of Geoscience, University of Oulu.

SAARENKETO, T., SCULLION, T., 2000. Road evaluation with ground penetrating radar. Journal of applied geophysics, 43(2), 119-138.

SCHMITT, R. L., FAHEEM, A., AL-QADI, I. L., 2013. Selection of Non-Destructive Testing Technologies for Asphalt Pavement Construction. In Airfield and Highway Pavement 2013: Sustainable and Efficient Pavements, 573-584.

SHAFAGHAT, A., KEYVANFAR, A., MANTEGHI, G., LAMIT, H. B., 2016a. Environmental-conscious factors affecting street microclimate and individuals’ respiratory health in tropical coastal cities. Sustainable Cities and Society, 21, 35-50.

SHAFAGHAT, A., MANTEGHI, G., KEYVANFAR, A., BIN LAMIT, H., SAITO, K., OSSEN, D. R., 2016b. Street Geometry Factors Influence Urban Microclimate in Tropical Coastal Cities: A Review. Environmental and Climate Technologies, 17(1), 61-75.

SHAFAGHAT, A., KEYVANFER, A., MUSLIM, N. H. B., 2016c. Drivers’ adaptive travel behaviors towards green transportation development: a critical review. Archives of Transport, 38 (2), 49-70.

SMITH, S. S., SCUILLION, T., 1993. Development of ground-penetrating radar equipment for detecting pavement condition for preventive maintenance. NASA STI/Recon Technical Report N, 95, 11904.

STROUP-GARDINER, M., BROWN, E. R., 2000. Segregation in hot-mix asphalt pavements (No. 441). Transportation Research Board.

WANG, S., GUO, Y. C., LI, D. Y., HU, K., 2016. Research of lateral force of pipe conveyor belt’s vertical transport section. Archives of Transport, 37 (1), 67-75.

Downloads

Published

2017-06-30

Issue

Section

Original articles

How to Cite

Muslim, N. H., Mohamed, M. I., Amin, Z. M., Shafaghat, A., Ismail, M., & Keyvanfar, A. (2017). Ground Penetrating Radar’s (GPR) Imaging and Applications to Pavement Structural Assessment: a Case of Malaysia. Archives of Transport, 42(2), 39-51. https://doi.org/10.5604/01.3001.0010.0526

Share

Most read articles by the same author(s)

Similar Articles

121-130 of 140

You may also start an advanced similarity search for this article.

No Related Submission Found