Railway Slope Monitoring Based on Dual-Parameter FBG Sensor
文献类型：期刊论文
| 作者 | Xu, Hongbin1,3,4; Wang, Weiwei5; Li, Feng1,3,4; Du, Yanliang1,3,4; Tu, Hongliang2; Guo, Chuanrui1,3,4 |
| 刊名 | PHOTONIC SENSORS
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 15期号:1页码:14 |
| 关键词 | Fiber Bragg grating railway slope monitoring inclination vibration |
| ISSN号 | 1674-9251 |
| DOI | 10.1007/s13320-024-0718-0 |
| 英文摘要 | A large number of slopes appear along the line during railway construction, which will pose a threat to railway safety operation. Slope monitoring plays an important role in ensuring the safety of railway operation. Aiming at the difficulties of sensor multiplexing, low accuracy, and large disturbance by trains, this paper proposes a railway slope monitoring method based on integrated fusion detection of inclination and vibration. Instability and failure characteristics of the K3 slope in Shuohuang Railway and dynamic characteristics under the excitation of the train load are analyzed by the finite element method (FEM) analysis. Based on the above analysis, a slope monitoring system is established utilizing the self-developed dual-parameter fiber Bragg grating (FBG) sensor. The monitoring data of the past four years show that the slope is in a relatively stable state at present. The monitoring data are consistent with the results of the FEM. The feasibility of the damage identification method based on inclination and vibration characteristics is verified, which provides a new method for railway slope monitoring. |
| 资助项目 | National Key Research and Development Program of China[2021YFB2600800] ; National Natural Science Foundation of China[52378309] ; Shenzhen Science and Technology Program[JCYJ20220818095608018] ; Shenzhen Science and Technology Program[KQTD20180412181337494] ; China Postdoctoral Science Foundation[2022M722188] ; China Postdoctoral Science Foundation[2022TQ0218] ; China Postdoctoral Science Foundation[2022M722187] ; Natural Science Foundation of Hebei Province[E2021210032] ; Visiting Researcher Fund Program of State Key Laboratory of Water Resources Engineering and Management[2022SGG05] ; Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology[TKL2024B10] |
| WOS研究方向 | Instruments & Instrumentation ; Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:001270169100001 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/42032]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Feng |
| 作者单位 | 1.Shenzhen Univ, Natl Key Lab Green & Long Life Rd Engn Extreme Env, Shenzhen 518060, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Shenzhen Univ, Inst Urban Smart Transportat & Safety Maintenance, Shenzhen 518060, Peoples R China 4.Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518060, Peoples R China 5.Shijiazhuang Tiedao Univ, Sch Civil Engn, Shijiazhuang 050043, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Hongbin,Wang, Weiwei,Li, Feng,et al. Railway Slope Monitoring Based on Dual-Parameter FBG Sensor[J]. PHOTONIC SENSORS,2024,15(1):14. |
| APA | Xu, Hongbin,Wang, Weiwei,Li, Feng,Du, Yanliang,Tu, Hongliang,&Guo, Chuanrui.(2024).Railway Slope Monitoring Based on Dual-Parameter FBG Sensor.PHOTONIC SENSORS,15(1),14. |
| MLA | Xu, Hongbin,et al."Railway Slope Monitoring Based on Dual-Parameter FBG Sensor".PHOTONIC SENSORS 15.1(2024):14. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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