Fiber Monitoring System Applied to Railway Bridge Structures in a Near-Fault Region
Source abstract
Abstract
Bridges are widely used for train transportation. Some bridges must be constructed close to geologic faults or across them due to the constraints of travel route alignment and the geographical environment. Taiwan is located at the junction of the Eurasian Plate and the Philippine Plate, where geological joints are present and earthquakes are frequent. In Taiwan, the monitoring and early warning of structural displacements is increasingly important, especially in the mutual control and monitoring of bridges and railways. This study utilizes fiber as a continuous sensor to monitor the safety of railway bridges in a near-fault region. This research builds upon the theory of Brillouin frequency shift (BFS) and applies it to a practical scenario of a fault-crossing railway bridge. BFS is related to the strain and temperature change in a single-mode fiber. Distributed fiber optic sensing (DFOS) systems enable us to detect shifts in frequency on the sensing fiber. A systemic approach to installing DFOS systems will be discussed. Data from a DFOS system are collected, and through data processing, they are converted into strain with regard to the deformations (bending, tension, compression) of a box girder bridge. Changes in the geometric structure of the box girder bridge throughout the year are measured and processed into graphical data. This system can be effectively applied to the structural safety monitoring of railway bridges. Through this research, several functions have been achieved, including continuous displacement, automatic monitoring, and real-time automatic alarm functions, without the need for human intervention.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Fiber Optic Sensors · Railway Engineering and Dynamics · Advanced Photonic Communication Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Chung Hua University, No. 707, Sec. 2, Wufu Rd., Hsinchu 30012, Taiwan
OlitGlobal, No. 329, Huaxia Rd., 3FL., Zuoying, Kaohsiung 81355, Taiwan
References (20)
Show source-provided references
1. Developments, challenges, and perspectives of railway inspection robots10.1016/j.autcon.2022.104242 ↗
2. Hsu, W.-K., Lee, Y.-L., and Kuan, T.-T. (2021). Brillouin Frequency Shift Sensing Technology Used in Railway Strain and Temperature Measurement. Appl. Sci., 11.10.3390/app11157101 ↗
3. Real-Time Distributed Strain Monitoring of a Railway Bridge during Train Passage by Using a Distributed Optical Fiber Sensor Based on Brillouin Optical Correlation Domain Analysis10.1155/2016/9137531 ↗
4. Study on defects detection of a structure undergoing dynamic load
5. Yoon, H.-J., Kim, J.-S., Song, K.-Y., Cho, H.-W., and Jung, J.-Y. (2018). Distributed Strain Monitoring of Railway Composite Bogies Using a Brillouin Optical Correlation Domain Analysis System. Appl. Sci., 8.10.3390/app8101755 ↗
6. The Use of Fiber Optic Sensing to Measure Distributed Rail Strains and Determine Rail Seat Forces Due to a Moving Train10.1139/cgj-2017-0163 ↗
7. Applications of optical frequency-domain reflectometry technology in strain-deformed configuration conversion of structural surface deformed configuration measurement10.1177/1550147719891636 ↗
8. Michael, I. (2012). Novel Applications of Distributed Fiber-Optic Sensing in Geotechnical Engineering, vdf Hochschulverlag AG.
9. Long term structural health monitoring by Brillouin fibre-optic sensing: A real case10.1088/1742-2132/9/4/S64 ↗
10. Distributed fibre optic sensors in FRP composite bridge monitoring: Validation through proof load tests10.1016/j.engstruct.2021.113057 ↗
11. Galindez, C.A., Madruga, F.J., Lomer, M., Cobo, A., and Lopez-Higuera, J.M. (2008, January 15–18). Effect of humidity on optical fiber distributed sensor based on Brillouin scattering. Proceedings of the 2018 SPIE—The International Society for Optical Engineering, Perth, Australia.10.1117/12.786159 ↗
12. Humidity-induced Brillouin frequency shift in perfluorinated polymer optical fibers10.1364/OE.26.022307 ↗
13. Internal Deformation Monitoring of Slope Based on BOTDR10.1155/2016/9496285 ↗
14. Klug, F., Lackner, S., and Lienhart, W. (April, January 30). Monitoring of Railway Deformations using Distributed Fiber Optic Sensors. Proceedings of the Joint International Symposium on Deformation Monitoring (JISDM), Wien, Austria.
15. Distributed Optical Fibre Sensors and Their Applications in Pipeline Monitoring10.4028/www.scientific.net/KEM.558.424 ↗
16. Distributed optical fiber sensing: Review and perspective10.1063/1.5113955 ↗
17. Tensile strain dependence of Brillouin frequency shift in silica optical fibers10.1109/68.34756 ↗
18. Development of a distributed sensing technique using Brillouin scattering10.1109/50.400684 ↗
19. Thermal effects on the Brillouin frequency shift in jacketed optical silica fibers10.1364/AO.29.002219 ↗
20. Bednarski, Ł., Sieńko, R., Grygierek, M., and Howiacki, T. (2021). New Distributed Fibre Optic 3DSensor with Thermal Self-Compensation System: Design, Research and Field Proof Application Inside Geotechnical Structure. Sensors, 21.10.3390/s21155089 ↗