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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 102
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: B.H.V. Topping and P. Iványi
Paper 28

Railway Traffic Monitoring by Use of Distributed Optical Fiber Sensors

A. Minardo1, G. Porcaro2, D. Giannetta3, R. Bernini4 and L. Zeni1,4

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

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 B.H.V. Topping, P. Iványi, (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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