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Nondestructive diagnostics and detection of subsurface cracks in non-rigid pavements with GPR

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The results of laboratory experiments that show the capabilities of modern georadars are presented. Analysis of GPR capabilities allowed to propose a new approach to solving the actual problem of detecting subsurface cracks. The proposed method for recording pulse signals and data processing is based on algorithms and software previously developed by the authors. With the help of this method and the experiments carried out, the possibility of agreed solution to the problem of choosing the optimal parameters of the GPR pulsed signals was shown. To confirm the effectiveness of the developed signal processing methods, a series of laboratory experiments were carried out. The new version of the program "GeoVizy-2020" made it possible to increase the efficiency of processing complex impulse signals, as well as to realize the possibility of calculating the quantitative values of the most important parameters of the road pavement layers - the relative permittivity and thickness. Also, to check the adequacy of the results obtained, a method was used, which is based on the procedure for direct measurement of the real layer thickness in laboratory and field conditions and comparison of the data obtained with the results of numerical simulation. As a result, evidence is presented of the advantages of using pulsed signals for assessing layer parameters, searching for subsurface cracks and processing the results of surveys of road surfaces is presented.
Czasopismo
Rocznik
Strony
85--95
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
  • Department of Theoretical Radiophysics V. N. Karazin Kharkiv National UniversityKharkiv, Ukraine
  • Chair of Highway Design, Geodesy and Land Management, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine
  • Chair of Highway Design, Geodesy and Land Management, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine
  • Chair of Highway Design, Geodesy and Land Management, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine
Bibliografia
  • 1. Volovski M, Murillo-Hoyos J, Saeed TU, Labi S. Estimation ofroutine maintenance expenditures for highway pavement segments: accounting for heterogeneity using random-effects models. Journalof Transportation Engineering, 2017; Part A: Systems. 143(5) https://doi.org.10.1061/JTEPBS.0000041.
  • 2. Woldemariam W, Murillo-Hoyos J, Labi S. Estimating annual maintenance expenditures for infrastructure: artificial neural networkapproach. Journal of Infrastructure Systems, 2015;22(2):1-9, https://doi.org.10.1061/(ASCE)IS.1943-555X.0000280.
  • 3. Adams TM. Estimating Cost per Lane Mile for Routine Highway Operations and Maintenance. National Center for Freight and Infrastructure Research and Education, University of Wisconsin, Madison, WI, USA, 2011, Technical Report No. MRUTC 07-12.
  • 4. Ground penetrating radar, theory and applications. Elsevier B.V. 2009.
  • 5. 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. 2009.
  • 6. Yan Xua, Lijun Sun. Study on permanent deformation of asphalt mixtures by single penetration repeated shear test. Procedia - Social and Behavioral Sciences 96, 13th COTA International Conference of Transportation Professionals (CICTP 2013). https://doi.org/10.1016/j.sbspro.2013.08.101.
  • 7. Zulufqar Bin Rashid1, Rakesh Gupta. Study of defects in flexible pavement and its maintenance. International Journal of Recent Engineering Research and Development (IJRERD). 2017; 2(6):30-37. www.ijrerd.com.
  • 8. Mezgeen AR, Vega Pérez-Gracia, Francisco MF, Jorge CP, Sonia Santos-Assunçaoa Caio Santos, Viviana Sossa. GPR laboratory tests and numerical models to characterize cracks in cement concrete specimens, exemplifying damage in rigid pavement. Measurement. 2020;158:107662 . https://doi.org/10.1016/j.measurement.2020.107662..
  • 9. 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. http://ieeexplore.ieee.org/document/7996072/
  • 10. Carl Lenngren, Ebrahim Parhamifar. FWD Testing as a Construction Control Tool. 9th International Conference on the Bearing Capacity of Roads, Railroads, and Airfields. 2013; 1:1-11.
  • 11. Payntar G. Method of test for obtaining deflection measurements and layer thickness information for rehabilitation design of hot mix asphalt surfaced pavements using mechanistic-empirical design and analysis procedures. State of California—business, transportation and housing agency, department of transportation division of engineering services Transportation Laboratory 5900 Folsom Boulevard Sacramento, California. 2014; 1-12. https://dot.ca.gov/-/media/dot-media/programs/engineering/documents/californiatestmethodsctm/ctm-357-a11y.pdf.
  • 12. Gudmarsson A, Ryden N, Di Benedetto H, Sauzéat C, Tapsoba N, Birgisson B. Comparing linear viscoelastic properties of asphalt concrete measured by laboratory seismic and tension–compression tests. Journal Nondestruct Eval. 2014;33:571-582. https://doi.org/10.1007/s10921-014-0253-9.
  • 13. Nils Ryden. Seismic pavement testing. International Conference on Engineering Geophysics. At: Al Ain, United Arab Emirates. 2015: 1-5. https://doi.org/10.1190/iceg2015-005.
  • 14. Park C, Ivanov J, Miller RD, Xia J. Seismic Investigation of Pavements by MASW Method - Geophone Approach. Geophysics to Engineering and Environmental Problems. 2001:1-9. https://doi.org/10.4133/1.2922938.
  • 15. Henrik Bjurström. Non-contact surface wave measurements on pavements. Doctoral Thesis, KTH Royal Institute of Technology, School of Architecture and the Built Environment, Departament of Civil and Architectural Engineering, Division of Soil and Rock Mechanics, SE-114 28 Stockholm. 2017. https://www.diva-portal.org/smash/get/diva2:1073021/FULLTEXT01.pdf.
  • 16. 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. https://doi.org/10.29354/diag/91489.
  • 17. Zehua Dong et al. Rapid detection methods for asphalt pavement thicknesses and defects by a vehicle-mounted ground penetrating radar (GPR) system. Sensors (Basel). 2016;16(12):2067. https://doi.org/10.3390/s16122067.
  • 18. Batrakov DO. Antyufeyeva MS, Antyufeyev OV, Batrakova AG. GPR application for the road pavements surveys./2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS). 2017: 81-84.
  • 19. Ground penetrating radar, theory and applications. Amsterdam. Elsevier B.V. 2009.
  • 20. 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. 2009.
  • 21. Batrakov DO, Antyufeyeva MS, Antyufeyev AV, Batrakova AG. Remote sensing of plane-layered media with losses using UWB signals. XI International Conference on Antenna Theory and Techniques (ICATT), 2017: 370-373. IEEE Conference Publications. http://ieeexplore.ieee.org/document/7972666/
  • 22. Lachowicz J, Rucka M. Numerical modeling of GPR field in damage detection of a reinforced concrete footbridge.Diagnostyka. 2016;17(2):3-8.
  • 23. 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. CRC Press - Taylor & Francis Group. 2016.
  • 24. Batrakov DO, Antyufeyeva MS, Batrakova AG, Antyufeyev AV. UWB signal processing for the solving inverse scattering problem of plane-layered media. Proceedings of the 9th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS-2018). 2018:140-143. https://ieeexplore.ieee.org/document/8520255/
  • 25. Batrakov DO, Batrakova AG, Pochanin GP, Orlenko OA. Method of detection and determination of direction, including subsurface cracks in asphalt concrete pavements. Patent for the invention №118409, Ukraine, 10. 01. 2019.
  • 26. Mezgeen A. Rasol Vega Pérez-Gracia, Mercedes Solla, Jorge C. Pais, Francisco M. Fernandes, Caio Santos, Sam Roberts. Early cracking observation in road pavements with Ground Penetrating Radar: Field and numerical study. N Conference: 1st International Conference On Ground Penetrating Radar Applications For Solving Engineering Problems. At: Wroclow. 2019.
  • 27. Pochanin GP, Ruban VP, Batrakova AG, Urdzik SN, Batrakov DO. Measuring of thickness of asphalt pavement with use of GPR. 15th International radar symposium . proceedings (Gdansk, Poland, June 16-18, 2014). - Warsaw University of Technology. 2014:452-455.
  • 28. Tian Xia, Dryver Huston. High speed ground penetrating radar for road pavement and bridge structural inspection and maintenance. Final Report. Project Number: SPR-RSCH017-738. Report Submitted on: 06/30/2016. https://vtrans.vermont.gov/sites/aot/files/highway/documents/materialsandresearch/completedprojects/Final%20Report%20-%20738%20-%20High%20Speed%20GPR%2010-17-2016.pdf
  • 29. Born M, Wolf E. Principles of Optics. Electromagnetic theory of propagation, interference, and diffraction of light. Pergamon, London; Macmillan, New York, ed. 2. 1964.
  • 30. David Ernesto Troncoso Romero, Gordana Jovanovic Dolecek. Digital FIR hilbert transformers: fundamentals and efficient design methods. A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1. InTech-Open. 2012. https://doi.org/10.5772/46451.
  • 31. Pasquini B, Vanderhaeghen M. Dispersion theory in electromagnetic interactions. Annual Review of Nuclear and Particle Science. 2018;68:75-103. https://doi.org/10.1146/annurev-nucl-101917-020843.
  • 32. Batrakova AG, Troyanovsky VV, Batrakov DO, Pilicheva MO, Skrypnyk NS. Prediction of the road pavement condition index using stochastic models. Roads and Bridges - Drogi i Mosty. 2020;19(3): 225-242. https://doi.org/10.7409/rabdim.020.015.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5bbdcb43-3ec8-4c33-9a5f-e7238cf3e27d
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