Railway Slope Monitoring Based on Dual-Parameter FBG SensorOA
Railway Slope Monitoring Based on Dual-Parameter FBG Sensor
Hongbin XU;Weiwei WANG;Feng LI;Yanliang DU;Hongliang TU;Chuanrui GUO
College of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,China||National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment,Shenzhen University,Shenzhen 518060,China||Institute of Urban Smart Transportation&Safety Maintenance,Shenzhen University,Shenzhen 518060,ChinaSchool of Civil Engineering,Shijiazhuang Tiedao University Shijiazhuang 050043,ChinaCollege of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,China||National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment,Shenzhen University,Shenzhen 518060,China||Institute of Urban Smart Transportation&Safety Maintenance,Shenzhen University,Shenzhen 518060,ChinaCollege of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,China||National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment,Shenzhen University,Shenzhen 518060,China||Institute of Urban Smart Transportation&Safety Maintenance,Shenzhen University,Shenzhen 518060,ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,ChinaCollege of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,China||National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment,Shenzhen University,Shenzhen 518060,China||Institute of Urban Smart Transportation&Safety Maintenance,Shenzhen University,Shenzhen 518060,China
Fiber Bragg gratingrailway slopemonitoringinclinationvibration
Fiber Bragg gratingrailway slopemonitoringinclinationvibration
《光子传感器（英文版）》 2025 (1)
47-60,14
This work was supported in part by the National Key Research and Development Program of China(Grant No.2021YFB2600800),National Natural Science Foundation of China(Grant No.52378309),Shenzhen Science and Technology Program(Grant Nos.JC YJ20220818095608018 and KQTD20180412181337494),China Postdoctoral Science Foundation(Grant Nos.2022M722188,2022TQ0218,and 2022M722187),Natural Science Foundation of Hebei Province(Grant No.E2021210032),Visiting Researcher Fund Program of State Key Laboratory of Water Resources Engineering and Management(Grant No.2022SGG05),and Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology(Grant No.TKL2024B10).
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