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A. Minardo¹, G. Porcaro², D. Giannetta³, R. Bernini⁴ and L. Zeni^1,4

¹Department of Industrial and Information Engineering
Second University of Naples, Aversa, Italy
²Tecnomatica SaS, Foggia, Italy
³Ferrovie del Gargano, Operations Office, San Severo (Foggia), Italy
⁴Institute for Electromagnetic Sensing of the Environment - National Research Council
Naples, Italy

doi:10.4203/ccp.102.28

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A. Minardo, G. Porcaro, D. Giannetta, R. Bernini, L. Zeni, "Railway Traffic Monitoring by Use of Distributed Optical Fiber Sensors", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 28, 2013. doi:10.4203/ccp.102.28

Keywords: distributed optical fiber sensors, structural health monitoring.

Summary

In this work, we report on the application of a distributed optical fiber sensor based on Brillouin scattering for train identification and dynamic load measurement. In our sensor, the weight of a passing train causes strain in the rail, which is transferred to the attached fiber. The test was carried out in the Peschici-San Severo regional railway line operated by Ferrovie del Gargano, during its normal operation. The rail sector selected for real-time monitoring tests was a continuous welded rail (CWR) situated near the San Menaio station. A single-mode optical fiber sensor was attached along a rail length of about 60 meters. The strain associated to the train passage was acquired along the monitored rail length at a 31 Hz acquisition rate and a 1 meter spatial resolution. The data acquired by the sensor demonstrates its capability in retrieving useful information in railway traffic monitoring, such as train identification, axle counting, speed detection, and dynamic load calculation.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 28 Railway Traffic Monitoring by Use of Distributed Optical Fiber Sensors A. Minardo¹, G. Porcaro², D. Giannetta³, R. Bernini⁴ and L. Zeni^1,4 ¹Department of Industrial and Information Engineering Second University of Naples, Aversa, Italy ²Tecnomatica SaS, Foggia, Italy ³Ferrovie del Gargano, Operations Office, San Severo (Foggia), Italy ⁴Institute for Electromagnetic Sensing of the Environment - National Research Council Naples, Italy doi:10.4203/ccp.102.28 purchase the full-text of this paper Full Bibliographic Reference for this paper A. Minardo, G. Porcaro, D. Giannetta, R. Bernini, L. Zeni, "Railway Traffic Monitoring by Use of Distributed Optical Fiber Sensors", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 28, 2013. doi:10.4203/ccp.102.28 Keywords: distributed optical fiber sensors, structural health monitoring. Summary In this work, we report on the application of a distributed optical fiber sensor based on Brillouin scattering for train identification and dynamic load measurement. In our sensor, the weight of a passing train causes strain in the rail, which is transferred to the attached fiber. The test was carried out in the Peschici-San Severo regional railway line operated by Ferrovie del Gargano, during its normal operation. The rail sector selected for real-time monitoring tests was a continuous welded rail (CWR) situated near the San Menaio station. A single-mode optical fiber sensor was attached along a rail length of about 60 meters. The strain associated to the train passage was acquired along the monitored rail length at a 31 Hz acquisition rate and a 1 meter spatial resolution. The data acquired by the sensor demonstrates its capability in retrieving useful information in railway traffic monitoring, such as train identification, axle counting, speed detection, and dynamic load calculation. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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