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T. Kingsuwannaphong¹ and D. Heberling^1,2

¹Institute of High Frequency Technology, RWTH Aachen University, Germany.
²Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), Germany

doi:10.4203/ccc.1.8.13

T. Kingsuwannaphong, D. Heberling, "Ground Penetrating Radar Data Analysis on Frequency-Domain for Railway Ballast Assessment", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 8.13, 2022, doi:10.4203/ccc.1.8.13

Keywords: frequency-domain analysis, railway ballast assessment, ground penetrating radar, gprMax.

Abstract

Railway ballast is one of the key components of the railway that is often problematic. The problems often lie in invisible underground structures, allowing Ground Penetrating Radar (GPR) to play a role in detecting such problems before it's too late. In this research, two important parameters related with ballast assessment are the fouling level and the appearance of cavities inside the ballast has been study. Instead of using real measurement result, a high accuracy synthetic model was used. The interpretation of the data was analysed on the frequency-domain, which has the advantage of being able to identify ballast faults more clearly than time-domain interpretation. The results show that GPR data analysis approaches are more user-friendly and reduce the complexity of data processing.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 8.13 Ground Penetrating Radar Data Analysis on Frequency-Domain for Railway Ballast Assessment T. Kingsuwannaphong¹ and D. Heberling^1,2 ¹Institute of High Frequency Technology, RWTH Aachen University, Germany. ²Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), Germany doi:10.4203/ccc.1.8.13 Full Bibliographic Reference for this paper T. Kingsuwannaphong, D. Heberling, "Ground Penetrating Radar Data Analysis on Frequency-Domain for Railway Ballast Assessment", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 8.13, 2022, doi:10.4203/ccc.1.8.13 Keywords: frequency-domain analysis, railway ballast assessment, ground penetrating radar, gprMax. Abstract Railway ballast is one of the key components of the railway that is often problematic. The problems often lie in invisible underground structures, allowing Ground Penetrating Radar (GPR) to play a role in detecting such problems before it's too late. In this research, two important parameters related with ballast assessment are the fouling level and the appearance of cavities inside the ballast has been study. Instead of using real measurement result, a high accuracy synthetic model was used. The interpretation of the data was analysed on the frequency-domain, which has the advantage of being able to identify ballast faults more clearly than time-domain interpretation. The results show that GPR data analysis approaches are more user-friendly and reduce the complexity of data processing. download the full-text of this paper (PDF, 8 pages, 644 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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