Georadars signal processing algorithms and improvement of non-destructive test quality
Abstract
Relevance. The relevance of the tasks of improving the methods of processing GPR data is due to the need to obtain a decent infrastructure. Therefore, the development of non-destructive testing methods based on the use of GPR as a tool for obtaining information about the internal structure and subsurface inhomogeneities of multilayer structures, the improvement of algorithms for processing GPR data create the basis for an operational assessment of the technical condition of structures and structures at a relatively low cost of work.
The purpose of work is to review of existing methods for processing non-destructive testing data and improvement of the previously proposed by the author’s algorithm for processing data obtained using GPR.
Materials and methods. A method has been developed for solving the problems of thickness measurement of flat-layered media. The method is implemented in a computational algorithm. The basis of the algorithm was the results of research in the field of diffraction theory and mathematical physics.
The results. The effectiveness of the procedure for obtaining and applying GPR calibration signals to determine the probing signal has been proven. Based on the results of laboratory experiments, the influence of the frequency of the GPR signal on the efficiency of the data processing procedure was determined, the adequacy of the proposed algorithm was confirmed in terms of restoring the geometric and electrical parameters of the layers of structures; the limitations of the method for restoring the electro physical parameters of plane-layered media structures regarding the number of layers are established; the fundamental possibility of developing this method and software for further increasing the number of analyzed layers and improving the accuracy of determining the geometric and electrical parameters of the structures under study has been proved.
Conclusions. The results obtained with contribute to the development of methods of non-destructive diagnostics of transport structures using GPR. Separately, it should be noted the prospects for further development of the proposed approach for solving problems of positioning and identification of subsurface inhomogeneity’s.
Downloads
References
Saarenketo T.: Electrical properties of road materials and subgrade soils and the use of ground penetrating radar in traffic infrastructure surveys, Faculty of Science, Department of Geosciences, University of Oulu, Academic dissertation, 2006, Original article http://jultika.oulu.fi/files/isbn9514282221.pdf
Evans RD. “Optimising Ground Penetrating Radar (GPR) to assess Pavements”, A dissertation thesis submitted in partial fulfillment of the requirements for the award of the degree Doctor of Engineering (EngD), at Loughborough University, August 2009, 219 pages. Original article http://www.lboro.ac.uk/media/wwwlboroacuk/content/cice/downloads/alumnitheses/2010/robert-evans.pdf .
Vilbig RA. Air-Coupled and GroundCoupled Ground Penetrating Radar Techniques. A Thesis Presented By To The Department of Civil and Environmental Engineering, Northeastern University, Massachusetts, 2013, 60 P. Original article https://repository.library.northeastern.edu/files/neu:848.
Daniels DJ (2007). Ground Penetrating Radar. IET Radar, Sonar, Navigation and Avionics Series 15, 2nd Edition, 726 р. ISBN 08634136.09, 9780863413605 https://searchworks.stanford.edu/view/12918552
Ground penetrating radar, theory and applications [Jol Harry M. (Editor)], Amsterdam : Elsevier B.V., 2009, 508 р. ISBN: 9780444533487 https://shop.elsevier.com/books/ground-penetrating-radar-theory-and-applications/jol/978-0-444-53348-7
Raffaele Persico. Introduction to Ground Penetrating Radar : Inverse Scattering and Data Processing. John Wiley & Sons Inc, New York, United States, 2014, 392 p. ISBN: 978-1-118-30500-3 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118835647
Antyufeyeva MS, Batrakov DO, Batrakova AG, Antyufeyev AV. Comparative Study of the Goldfarb Iterative and the Genetic Algorithm Methods for Solving Inverse Problems. 2018 Jul 1; http://dx.doi.org/10.1109/MMET.2018.8460316
Lech Krysiński, 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. Nondestructive testing and evaluation. 2012 Sep 1;27(3):219–27. http://dx.doi.org/10.1080/10589759.2012.674525
Dong Z, Ye S, Gao Y, Fang G, Zhang X, Xue Z, et al. Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System. Sensors. 2016 Dec 6;16(12):2067. https://doi.org/10.3390/s16122067
Hu J, Vennapusa PKR, White DJ, Beresnev I. Pavement thickness and stabilised foundation layer assessment using ground-coupled GPR. Nondestructive Testing and Evaluation. 2015 Dec 13;31(3):267–87. http://dx.doi.org/10.1080/10589759.2015.1111890
Sudyka J, Krysiński L. Evaluation of Homogeneity of Thickness of New Asphalt Layers Using GPR. IOP Conference Series: Materials Science and Engineering. 2018 May;356:012025. http://dx.doi.org/10.1088/1757-899X/356/1/012025
Batrakov DO, Antyufeyeva MS, Antyufeyev OV, Batrakova AG. GPR application for the road pavements surveys. 2017 Aug 1; https://doi.org/10.1109/MRRS.2017.8075033
RafTarefder RA, Ahmed MU. Ground Penetrating Radar for Measuring Thickness of an Unbound Layer of a Pavement. Advances in intelligent systems and computing. 2017 Jun 11;160–7. http://dx.doi.org/10.1007/978-3-319-60011-6_16
Ji-tong S, Guo Xiu-jun, Zhang Xiao-wei. Research on dielectric properties of asphalt concrete with GPR. 2012 14th International Conference on Ground Penetrating Radar (GPR). 2012 Jun 1; https://doi.org/10.1109/ICGPR.2012.6254923
Batrakov DO, Antyufeyeva MS, Antyufeyev AV, Batrakova AG. Inverse problems and UWB signals in biomedical engineering and remote sensing. 2016 Sep 1; https://doi.org/10.1109/UWBUSIS.2016.7724174
Batrakov DO, Antyufeyeva MS, Antyufeyev AV, Batrakova AG. Remote sensing of plane-layered media with losses using UWB signals. 2017 XI International Conference on Antenna Theory and Techniques (ICATT). 2017 May; https://doi.org/10.1109/ICATT.2017.7972666
Final report: PART 2—DESIGN INPUTS. CHAPTER 5. EVALUATION OF EXISTING PAVEMENTS FOR REHABILITATION. ARA Inc., for National Cooperative Highway Research Program, 2004, 78 P.
Smart Pavement Monitoring System. Report No. FHWA-HRT-12-072, Report Date May 2013, 150 P.
Arnold, G, P Fon Sing, T Saarenketo and T Saarenpaa. Pavement moisture measurement to indicate risk to pavement life. NZ Transport Agency research report 611, 2017, 160p. ISSN 1173-3764 (electronic).
Pavement Condition Report, Indianapolis-Hendricks County Airport, Project 15805741, Indiana Department of Transportation, Office of Aviation, Februar y 2015, 91p.
Batrakov DO, Antyufeyeva MS, Antyufeyev AV, Batrakova AG. GPR data processing for evaluation of the subsurface cracks in road pavements. 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). 2017 Jun; https://doi.org/10.1109/IWAGPR.2017.7996072
Rasol MA, Pérez-Gracia V, Fernandes FM, Pais JC, Santos-Assunçao S, Santos C, et al. GPR laboratory tests and numerical models to characterize cracks in cement concrete specimens, exemplifying damage in rigid pavement. Measurement. 2020 Jul;158:107662. http://dx.doi.org/10.1016/j.measurement.2020.107662
Batrakov DO, Antyufeyeva MS, Antyufeyev AV, Batrakova AG. UWB signal processing during thin layers thickness assessment. 2016 Sep 1; https://doi.org/10.1109/RMSW.2016.7778545
Artur Zieliński, Mazurkiewicz E, Mikołaj Łyskowski, Wieczorek D. Use of GPR method for investigation of the mass movements development on the basis of the landslide in Kałków. 2016 Mar 31;15(1):61–70. doi:http://dx.doi.org/10.7409/rabdim.016.004
Lachowicz J, Rucka M. Numerical modeling of GPR field in damage detection of a reinforced concrete footbridge. Diagnostyka. 2016;17(2): p..3-8.
Batrakov, DO, Batrakova, AG, Antyufeyeva MS. Combined GPR data analysis technique for diagnostics of structures with thin near-surface layers. Diagnostyka 19(3), 2018,11–20.
Max Born, Emil Wolf. Principles of Optics. 6th Edition, Electromagnetic Theory of Propagation, Interference and Diffraction of Light. eBook ISBN: 9781483103204. Imprint: Pergamon, Published Date: 1st January 1980, PP. 836.
Batrakov, D.O., Tarasov, M.M. Algorithm of solving inverse scattering problems using the Pontryagin maximum principle. Radiotekhnika i Elektronika, 1999, 44(2), PP. 137-142.
Henry Crew. The wave theory of light; memoirs of Huygens, Young and Fresnel. October 10, 2018 196 P.
Zhuck NP, Batrakov DO. Determination of electrophysical properties of a layered structure with a statistically rough surface via an inversion method. Physical review B, Condensed matter. 1995 Jun 15;51(23):17073–80. https://doi.org/10.1103/PhysRevB.51.17073
