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K. Faizi, R.Kromanis, P. Beetham,, J. Allsop, "The Resilience of Vision-Based Technology for Railway Track bed Monitoring", 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 8.6, 2022, doi:10.4203/ccc.1.8.6

Keywords: vision-based technology, finite element, railway track, stiffness, monitoring.

Abstract

Innovative non-contact sensing and monitoring systems based on Vision-Based (VB) technology are becoming a viable method to remotely capture railway track vibrations and quality. This paper describes the use of VB system for the measurement of track vertical displacements and the estimation of track stiffness. The dynamic response of the track under a moving vehicle load was investigated through experimental and numerical modelling using a series of large-scale trails and finite element (FE) simulations. The accuracy of the VB system was examined with a conventional sensor used to measure the rail deflection. The viability of VB system in detecting voids between rail and sleeper due to faults in fastening were discussed. Results obtained from the VB monitoring was then used to calibrate FE models used to estimate the subsoil stiffness. The paper concludes with a discussion of how this methodology can be utilised in the railway industry for assessing the track performance with less complicated and more cost-effective hardware compared to conventional monitoring systems.

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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 8.6 The Resilience of Vision-Based Technology for Railway Track bed Monitoring K. Faizi¹, R.Kromanis², P. Beetham¹ and J. Allsop³ ¹Nottingham Trent University, Nottingham, United Kingdom ²University of Twente, The Netherlands ³Van Elle, Nottingham, United Kingdom doi:10.4203/ccc.1.8.6 Full Bibliographic Reference for this paper K. Faizi, R.Kromanis, P. Beetham,, J. Allsop, "The Resilience of Vision-Based Technology for Railway Track bed Monitoring", 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 8.6, 2022, doi:10.4203/ccc.1.8.6 Keywords: vision-based technology, finite element, railway track, stiffness, monitoring. Abstract Innovative non-contact sensing and monitoring systems based on Vision-Based (VB) technology are becoming a viable method to remotely capture railway track vibrations and quality. This paper describes the use of VB system for the measurement of track vertical displacements and the estimation of track stiffness. The dynamic response of the track under a moving vehicle load was investigated through experimental and numerical modelling using a series of large-scale trails and finite element (FE) simulations. The accuracy of the VB system was examined with a conventional sensor used to measure the rail deflection. The viability of VB system in detecting voids between rail and sleeper due to faults in fastening were discussed. Results obtained from the VB monitoring was then used to calibrate FE models used to estimate the subsoil stiffness. The paper concludes with a discussion of how this methodology can be utilised in the railway industry for assessing the track performance with less complicated and more cost-effective hardware compared to conventional monitoring systems. download the full-text of this paper (PDF, 7 pages, 402 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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