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A Highly Integrated BOTDA/XFG Sensor on a Single Fiber for Simultaneous Multi-Parameter Monitoring of Slopes.
Li, Feng; Zhao, Weigang; Xu, Hongbin; Wang, Shupeng; Du, Yanliang.
Afiliação
  • Li F; School of Civil Engineering, Wuhan University, Wuhan 430072, China. lf260986@semi.ac.cn.
  • Zhao W; Structural Health Monitoring and Control Institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, China. zhaoweig2002@163.com.
  • Xu H; Key Laboratory of Structural Health Monitoring and Control, Hebei Province, Shijiazhuang 050043, China. zhaoweig2002@163.com.
  • Wang S; Structural Health Monitoring and Control Institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, China. xuhongbin@semi.ac.cn.
  • Du Y; School of Civil Engineering, Wuhan University, Wuhan 430072, China. shupeng2hao@163.com.
Sensors (Basel) ; 19(9)2019 May 08.
Article em En | MEDLINE | ID: mdl-31072031
A highly integrated sensing technology, combining a stimulated Brillouin scattering-based distributed sensor with XFG (fiber Bragg grating (FBG) and long-period fiber grating (LPFG)) sensors on a single fiber, is proposed for the simultaneous measurement of fully distributed and multiple discrete dynamic strains/temperatures. A multiparameter monitoring scheme for slope safety is developed using this integrated sensing technology. An indoor simulation test is carried out to verify its ability to simultaneously monitor a slope's surface displacement, an anchor reinforcement's axial force, and rockfall vibration. The experimental results show that distributed static strain and discrete dynamic strain can be well-measured simultaneously with little interference. The results also demonstrate the XFG sensors' capability for multi-type and multipoint multiplexing. In addition, the proposed hybrid sensor system has potential for the monitoring of multiple slope parameters simultaneously.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article