Application of georadars for detecting subsurface defects in layers of non-rigid road pavements
Abstract
The relevance of the problem under consideration is a consequence of the high cost of classical methods of pavement inspection. At the same time, the use of modern pulse georadars allows to ensure a relatively low cost of monitoring the current state of highways, since it allows to obtain georadar data when a laboratory vehicle is moving at the speed of a traffic flow. This minimizes the role of costly and time-consuming operations such as coring or cutting.
The purpose of this work is to improve the methods for obtaining primary GPR data, which were previously proposed by the authors to improve the accuracy and reliability of the results of processing pulsed GPR signals.
Materials and methods. When processing model and experimental data, first of all, modern theoretical methods of processing pulse signals from ground penetrating radars, as well as methods of computer modeling, were used.
Results. Based on the analysis of the factors that determine the key features of GPR signals, a signal calibration method has been proposed, which makes it possible to increase the reliability of detecting such defects in layers of non-rigid road pavement made of monolithic materials, such as loss of interlayer adhesion, or identification of thin layers from an electrophysical point of view in multilayer media.
Conclusions. Combining the signal calibration method together with the previously proposed approach to detecting the loss of interlayer adhesion and the performed numerical simulation made it possible to increase the reliability of the procedure for non-destructive testing of road pavements and other building structures. During the work, laboratory experiments were performed on model structures. The analysis of the obtained data was performed using the developed software GeoVizy.
Downloads
References
Batrakov DO, Antyufeyeva MS, Batrakova AG, Urdzik SN. The Effect of Secondary Reflections on the Quality of Layers Thickness Assessment Using UWB GPR Signals, 2020 IEEE Ukrainian Microwave Week (UkrMW), 2020. p. 1132-1135, Available from: https://doi.org/10.1109/UkrMW49653. 2020.9252812
Loizos A, Plati C. Accuracy of pavement thicknesses estimation using different ground penetrating radar analysis approaches. NDT E Int. 2007;40:147-157. https://doi.org/10.1016/j.ndteint.2006.09.001
Tarefder RA, Ahmed MU. Ground penetrating radar for measuring thickness of an unbound layer of a pavement. Advances in Intelligent Systems and Computing. 2018;598:160-167. https://doi.org/10.1007/978-3-319-60011-6_16
Pochanin GP, Masalov SA, Ruban VP, Kholod PV, Batrakov DO, Batrakova AG, Urdzik SN, Pochanin OG. Advances in Short Range Distance and Permittivity Ground Penetrating Radar Measurements for Road Surface Surveying. In: Advanced Ultrawideband Radar: Signals, Targets and Applications. London: CRC Press - Taylor & Francis Group; 2016. p. 20-65.
Batrakov DO, Iyan Lo, Antyufeeva MS, Shulga SN, Batrakova AG. Detection of contact breakdown between flat layers using impulse GPR. Visnyk of V.N. Karazin Kharkiv National University, series “Radio Physics and Electronics”. Kharkiv: KhNU; 2019;30:27-37. (Russian).
Hanif S, Ahmed A, Saeed TU, Bai Q. Estimation of Pavement Damage Cost for Establishing Equitable Road Use Fee for Commercial Vehicles – An Exploratory Empirical Analysis. July 2016 DEStech Transactions on Engineering and Technology Research. Conference: ICTIM 2016. Available from: https://doi.org/10.12783/dtetr/ictim2016/5530,
Saarenketo T. Electrical Properties of Road Materials and Subgrade Soils and the Use of Ground Penetrating Radar in Traffic Infrastructure Surveys [dissertation]. Oulu: University of Oulu; 2006, 125p. Available from: http://jultika.oulu.fi/files/isbn9514282221.pdf
Saarenketo T, Scullion T. Road evaluation with ground penetrating radar J. of Appl. Geophys. 2000;43:119-138.
Alqadhi S, Ghahari S, Woldemariam W. Costs and Benefits of Highway Pavement Resurfacing: Interstate 465 Case Study. Infrastructure Asset Management. March 2018;5(2):1-40. Available from: https://doi.org/10.1680/jinam.17.00036
Oliveira DB, Vieira DAG, Lisboa AC, Goulart F. A well posed inverse problem for automatic pavement parameter estimation based on GPR data. NDT E Int. 2014;65:22-27.
Dong Z. Ye S, Gao Y, Fang G, Zhang X, Xue Z, Zhang T. Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System. Sensors. 2016;16(12):2067. Available from: http://www.mdpi.com/1424-8220/16/12/2067 doi: 10.3390/s16122067.
Departmental building codes of Ukraine. Transport facilities. Non-rigid road clothes. VBN B.2.3-218-186-2004. Kyiv: UKRAVTODOR; 2004, c. 1-137. (Ukrainian).
A Guide to the Visual Assessment of Pavement Condition. Available from: http://www.lgam.info/a-guide-to-the-visual-assessment-of-pavement-condition
Batrakov DO. Processing of pulse signals for thickness measurement of biological tissues and non-destructive control. Visnyk of V.N. Karazin Kharkiv National University, series “Radio Physics and Electronics”. Kharkiv: KhNU. 2016;25:48-52. (Russian).
Born M, Wolf E. Osnovy optiki Moscow: Nauka, 1973.720 p. (Russian).
Sudyka J, Krysiński L. Radar technique application in structural analysis and identification of interlayer bonding. Int. J. Pavement Res. Technol. 2011;4(3):176-184. Available from: http://www.ijprt.org.tw/ mailweb/files/sample/V4N3_176-184.pdf
Batrakov DO. Information technologies and processing of georadar signals in the monitoring system of transport facilities. In the book: Batrakova AG, editor. Information technologies and engineering of transport and industrial constructions, Kharkiv: FOP Panov AM; 2019. p. 66-108. [In Ukrainian].
Krysiński L, Sudyka J. Typology of reflections in the assessment of the interlayer bonding condition of the bituminous pavement by the use of an impulse high- frequency ground-penetrating radar. Nondestruct. Test. Eval. 2012;27(3):219-227. Available from: www.tandfonline.com/doi/abs/10.1080/ 10589759.2012.
Astanin LYu. Ultra Wideband Signals—A New Step in Radar Development. IEEE Aerospace and Electronic Systems Magazine. March, 1992, р. 12-15.
Astanin LY, Kostylev AA. Ultrawideband Radar Measurements: Analysis and Processing. By: The Institution of Electrical Engineering, London, UK, 1997.
Astanin LYu, Kipke MV, Kostyleva VV. The structural features of ultrawideband signals. 2008 4th International Conference on Ultrawideband and Ultrashort Impulse Signals, 2008, p. 180 – 182.
Ivashchuk VE, Prokhorenko VP, Pitertsev AA, Yanovsky F J. Evaluation of Combined Ground Penetrating and Through-the-Wall Surveillance UWB Technology. Proceedings of the 43rd European Microwave Conference. 7-10 Oct 2013, Nuremberg, Germany, 978-2-87487-031-6 2013 EuMA, p. 384-387.
Lahouar S. Development of Data Analysis Algorithms for Interpretation of Ground Penetrating Radar Data. [dissertation] Blacksburg, Virginia, October 3, 2003, 253 p.
Batrakov DO, Beloshenko KS, Batrakova AG, Antyufeeva MS. Use of polarization parameters of georadar for control of flat-layered media. Visnyk of V.N. Karazin Kharkiv National University, series “Radio Physics and Electronics”. Kharkiv: KhNU. 2017;26:10-16. (Russian).
Lem G. Analog and digital filters. Moskov : Mir; 1982, 592 p. (Russian).
Batrakov DO, Batrakova AG, Golovin DV, Simachev AA. Hilbert transform application to the impulse signal processing. Proceedings of the 2010 5th International Conference on: International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS’2010), 2010 September 6-10; Sevastopol, Ukraine. IEEE. p. 113–115. Available from: https://ieeexplore.ieee.org/document/5609110
Oppengeym A, Shaffer R. Digital signal processing. Moskov : Tehnosfera; 2012. 1048 s. ISBN 978-5-94836-329-5. (Russian).
Batrakova AG, Batrakov DO, Antyufeyeva MS. Pavement deterioration model based on GPR datasets. Roads and Bridges - Drogi i Mosty. mar. 2018;17(1):55-71, ISSN 2449-769X. Available from: http://dx.doi.org/10.7409/rabdim.018.004.
Batrakov DO, Batrakova AG, Antyufeyeva MS. Combined GPR data analysis technique for diagnostics of structures with thin near-surface layers. Diagnostyka. 2018;19(3):11–20. Available from: https://doi.org/10.29354/diag/91489.
