Application of optical fiber sensing technology in bridge detection
DOI:
https://doi.org/10.54097/hset.v9i.1727Keywords:
Optical fiber; Sensing technology; Bridge detection.Abstract
This paper introduces the development and application status of bridge detection technology at home and abroad, focuses on the research and application of optical fiber sensing technology in bridge detection at home and abroad, and takes strain detection as an example to introduce the detection principle, method and latest research of optical fiber sensing technology in bridge detection. Finally, the paper points out the development direction of optical fiber sensing technology in bridge detection.
Downloads
References
Wang F, Ge H, Kang X . Bridges [C]// Seventh China-Japan-US Trilateral Symposium on Lifeline Earthquake Engineering. 2017.
Uhde B K, Clarke E R, Masters S C, et al. Method and system for the control of fumigation [J]. 2005.
Nandi M, Dewanji A, Roy B , et al. Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks [J]. 2013.
Shen H, Jiang T. A New UWB Target Detection and Identification Method Based on Extreme Learning Machine [J]. LECTURE NOTES IN ELECTRICAL ENGINEERING, 2014.
Fewkes E J, Shah H C, Wagner F C . Optical fiber coating compositions [J]. WO, 2003.
Downie J D, Whiting M S, Sutherland J S, et al. Optically addressed RFID elements[J]. 2008.
Acar E, Bansal A, Chidambarrao D, et al. Circuit technique to electrically characterize block mask shifts:, US8969104[P]. 2015.
Ren Y. A Comparative Study of Intelligent Manufacturing between China and the Main Developed Countries [J]. Industrial Economy Review, 2015.
Bouchilloux P, Lhermet N, Claeyssen F. Electromagnetic Stress Sensor for Bridge Cables and Prestressed Concrete Structures [J]. Journal of Intelligent Material Systems and Structures, 2016.
Sanders G A, Qiu T, Strandjord L. Resonator fiber optic gyroscope (RFOG) with reduced bias error [J]. EP, 2011.
Sun L, Rapee R M, Tao X , et al. Psychometric Properties of the Children's Automatic Thoughts Scale (CATS) in Chinese Adolescents[J]. 2015.
Wang Y, Liao Y, Tian Q. Wavelength Scanning Fiber Optic Sensing with Two Optimized Fabry-Perot Interferometers [J]. Proceedings of SPIE - The International Society for Optical Engineering, 1999.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
