Analiza dokładności określania lokalizacji obiektów podziemnych za pomocą georadaru z wykorzystaniem danych lidarowych

Autor

DOI:

https://doi.org/10.24425/ace.2024.149884

Abstrakt

Georadar jest jedną z najbardziej użytecznych nieinwazyjnych technik lokalizowania obiektów podziemnych. Postęp w tej technologii w ostatniej dekadzie ułatwił rozwój nowych sensorów. W artykule przedstawiono ocenę dokładności lokalizacji prętów zbrojeniowych znajdujących się w obrębie badanego obiektu z wykorzystaniem różnych anten. Aby osiągnąć założone cele, wykonano pomiary 5 płyt betonowych, zbrojonych prętami stalowymi o różnych średnicach i znajdujących się na różnych głębokościach. Eksperyment obejmował wykorzystanie trzech anten o różnej częstotliwości do oceny rozmiaru, charakterystyki i różnic wyodrębnionych danych. W metodyce eksperymentu wykorzystano dodatkowo dane lidarowe z naziemnego skanowania laserowego (TLS), aby zapewnić precyzyjne pomiary powierzchni, a tym samym zewnętrzną orientację przestrzenną pozyskanych danych. Eksperyment pozwolił na wyznaczenie dokładności pionowej i poziomej dla trzech wykorzystanych anten oraz ocenę rosnącej wartości błędów wraz z większą głębokością mierzonych elementów, co jest istotne dla predykcji dokładności pomiarów.

Bibliografia

[1] N. Iftimie, A. Savin, R. Steigmann, and G.S. Dobrescu, “Underground Pipeline Identification into a Non-Destructive Case Study Based on Ground-Penetrating Radar Imaging”, Remote Sensing (Basel), vol. 13, no. 17, 2021, doi: 10.3390/rs13173494.

[2] W. Zhao, L. Yuan, E. Forte, G. Lu, G. Tian, and M. Pipan, “Multi-Frequency GPR Data Fusion with Genetic Algorithms for Archaeological Prospection”, Remote Sensing (Basel), vol. 13, no. 14, 2021, doi: 10.3390/rs13142804.

[3] M. Solla, V. Pérez-Gracia, and S. Fontul, “A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices”, Remote Sensing (Basel), vol. 13, no. 4, 2021, doi: 10.3390/rs13040672.

[4] A. Joshaghani and M. Shokrabadi, “Ground penetrating radar (GPR) applications in concrete pavements”, International Journal of Pavement Engineering, vol. 23, no. 13, pp. 4504-4531, 2022, doi: 10.1080/10298436.2021.1954182.

[5] S. Cafiso, A. Di Graziano, D. Goulias, M. Mangiameli, and G. Mussumeci, “Implementation of GPR and TLS Data for the Assessment of the Bridge Slab Geometry and Reinforcement”, Archives of Civil Engineering, vol. 66, no. 1, pp. 297-308, 2020, doi: 10.24425/ace.2020.131789.

[6] J. Li, T. Guo, H. Leung, H. Xu, L. Liu, B. Wang, and Y. Liu, “Locating Underground Pipe Using Wideband Chaotic Ground Penetrating Radar”, Sensors, vol. 19, no. 13, 2019, doi: 10.3390/s19132913.

[7] S. Jazayeri, A. Saghafi, S. Esmaeili, and C. P. Tsokos, “Automatic object detection using dynamic time warping on ground penetrating radar signals”, Expert Systems with Applications, vol. 122, pp. 102-107, 2019, doi: 10.1016/j.eswa.2018.12.057.

[8] I. Puente, M. Solla, S. Lagüela, and J. Sanjurjo-Pinto, “Reconstructing the Roman Site ‘Aquis Querquennis’ (Bande, Spain) from GPR, T-LiDAR and IRT Data Fusion”, Remote Sensing (Basel), vol. 10, no. 3, 2018, doi: 10.3390/rs10030379.

[9] S. Ogunniyi, D. Withey, S. Marais, and G. Crafford, “LiDAR-based 3D Mapping and Localisation System for Ground Penetrating Radar”, in 2020 International SAUPEC/RobMech/PRASA Conference. IEEE, 2020, pp. 1-6, doi: 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041134.

[10] M. Grasmueck and D. A. Viggiano, “Integration of Ground-Penetrating Radar and Laser Position Sensors for Real-Time 3-D Data Fusion”, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, pp. 130-137, 2007.

[11] M.S. Sudakova, M. Sadurtdinov, A. Tsarev, A. Skvortsov, and G. Malkova, “Ground-Penetrating Radar for Studies of Peatlands in Permafrost”, Russian Geology and Geophysics, vol. 60, no. 7, pp. 793-800, 2019.

[12] T. Yamaguchi, T. Mizutani, M. Tarumi, and D. Su, “Sensitive Damage Detection of Reinforced Concrete Bridge Slab by ‘Time-Variant Deconvolution’ of SHF-Band Radar Signal”, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1478-1488, 2019, doi: 10.1109/TGRS.2018.2866991.

[13] D.J. Daniels, Ground Penetrating Radar. Institution of Engineering and Technology, 2004, doi: 10.1049/PBRA015E.

[14] N.J. Cassidy, R. Eddies, and S. Dods, “Void detection beneath reinforced concrete sections: The practical application of ground-penetrating radar and ultrasonic techniques”, Journal of Applied Geophysics, vol. 74, no. 4, pp. 263-276, 2011, doi: 10.1016/j.jappgeo.2011.06.003.

[15] M. Ramya, K. Balasubramaniam, and M. Shunmugam, “On a reliable assessment of the location and size of rebar in concrete structures from radargrams of ground-penetrating radar”, Insight - Non-Destructive Testing and Condition Monitoring, vol. 58, no. 5, pp. 264-270, 2016, doi: 10.1784/insi.2016.58.5.264.

[16] K. Dinh, N. Gucunski, and T. Duong, “Migration-based automated rebar picking for condition assessment of concrete bridge decks with ground penetrating radar”, NDT & E International, vol. 98, pp. 45-54, 2018, doi: 10.1016/j.ndteint.2018.04.009.

[17] A. Benedetto and F. Benedetto, “Application Field-Specific Synthesizing of Sensing Technology”, in Comprehensive Materials Processing. Elsevier, 2014, pp. 393-425, doi: 10.1016/B978-0-08-096532-1.01315-7.

[18] Z. Xiang, G. Ou, and A. Rashidi,37 “An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database”, in Construction Research Congress 2020: Computer Applications. ASCE, 2020, pp. 86-95, doi: 10.1061/9780784482865.010.

[19] K. Agred, G. Klysz, and J. Balayssac, “Location of reinforcement and moisture assessment in reinforced concrete with a double receiver GPR antenna”, Construction and Building Materials, vol. 188, pp. 1119-1127, 2018, doi: 10.1016/j.conbuildmat.2018.08.190.

[20] M.R. Shaw, S. G. Millard, T.C.K. Molyneaux, M.J. Taylor, and J.H. Bungey, “Location of steel reinforcement in concrete using ground penetrating radar and neural networks”, NDT & E International, vol. 38, no. 3, pp. 203-212, 2005, doi: 10.1016/j.ndteint.2004.06.011.

[21] Z. Xiang, A. Rashidi, and G. (Gaby) Ou, “An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data”, in Computing in Civil Engineering 2019: Data, Sensing, and Analytics. ASCE, 2019, pp. 422-429, doi: 10.1061/9780784482438.054.37

[22] P. Wiwatrojanagul, R. Sahamitmongkol, S. Tangtermsirikul, and N. Khamsemanan, “A new method to determine locations of rebars and estimate cover thickness of RC structures using GPR data”, Construction and Building Materials, vol. 140, pp. 257-273, 2017, doi: 10.1016/j.conbuildmat.2017.02.126.

[23] H. Rathod, S. Debeck, R. Gupta, and B. Chow, “Applicability of GPR and a rebar detector to obtain rebar information of existing concrete structures”, Case Studies in Construction Materials, vol. 11, art. no. e00240, 2019, doi: 10.1016/j.cscm.2019.e00240.

[24] Z. Xiang, A. Rashidi, and G. Ou, “States of Practice and Research on Applying GPR Technology for Labeling and Scanning Constructed Facilities”, Journal of Performance of Constructed Facilities, vol. 33, no. 5, 2019, doi: 10.1061/(ASCE)CF.1943-5509.0001313.

[25] F. Zhou, Z. Chen, H. Liu, J. Cui, B.F. Spencer, and G. Fang, “Simultaneous Estimation of Rebar Diameter and Cover Thickness by a GPR-EMI Dual Sensor”, Sensors, vol. 18, no. 9, 2018, doi: 10.3390/s18092969.

[26] W. Mukupa, G.W. Roberts, C.M. Hancock, and K. Al-Manasir, “A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures”, Survey Review, vol. 49, no. 353, pp. 99-16, 2017, doi: 10.1080/00396265.2015.1133039.

[27] H. Li, S. Qi, X. Yang, X. Li, and J. Zhou, “Geological Survey and Unstable Rock Block Movement Monitoring of a Post-Earthquake High Rock Slope Using Terrestrial Laser Scanning”, Rock Mechanics and Rock Engineering, vol. 53, no. 10, pp. 4523-4537, 2020, doi: 10.1007/s00603-020-02178-0.

[28] N. Lercari, “Monitoring earthen archaeological heritage using multi-temporal terrestrial laser scanning and surface change detection”, Journal of Cultural Heritage, vol. 39, pp. 152-165, 2019, doi: 10.1016/j.culher.2019.04.005.

[29] X. Liang, et al., “Terrestrial laser scanning in forest inventories”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 115, pp. 63-77, 2016, doi: 10.1016/j.isprsjprs.2016.01.006.

[30] C. Wu, Y. Yuan, Y. Tang, and B. Tian, “Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry”, Sensors, vol. 22, no. 1, 2022, doi: 10.3390/s22010265.

[31] T. Saarenketo, “Electrical properties of road materials and subgrade soils and the use of Ground Penetrating Radar in traffic infrastructure surveys”, PhD thesis, University of Oulu, Finland, 2006.

[32] X. Han, “Experimental Study on Dielectric Properties of Pavement Structure Layer Based on Radar Image”, Chemical Engineering Transactions, vol. 66, pp. 883-888, 2018, doi: 10.3303/CET1866148.

[33] J. Karczewski, Ł. Ortyl, and M. Pasternak, Zarys Metody Georadarowej. Kraków, Poland: Wydawnictwa AGH, 2011.

[34] Z. Tong, D. Yuan, J. Gao, Y. Wei, and H. Dou, “Pavement-distress detection using ground-penetrating radar and network in networks,” Construction and Building Materials, vol. 233, art. no. 117352, 2020, doi: 10.1016/j.conbuildmat.2019.117352.

Opublikowane

2024-06-30

Jak cytować

Lejzerowicz, Anna, i in. „Analiza dokładności określania Lokalizacji obiektów Podziemnych Za Pomocą Georadaru Z Wykorzystaniem Danych Lidarowych”. Archives of Civil Engineering, t. 70, nr 2, czerwiec 2024, s. 611-28, doi:10.24425/ace.2024.149884.

Numer

Dział

Articles

Podobne artykuły

1 2 3 4 5 6 7 8 > >> 

Możesz również Rozpocznij zaawansowane wyszukiwanie podobieństw dla tego artykułu.