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A Review of Rock Bolt Monitoring Using Smart Sensors.
Song, Gangbing; Li, Weijie; Wang, Bo; Ho, Siu Chun Michael.
Afiliação
  • Song G; Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA. gsong@uh.edu.
  • Li W; Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA. wli27@uh.edu.
  • Wang B; Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China. ahbowang@home.swjtu.edu.cn.
  • Ho SC; Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA. siuchun.ho@gmail.com.
Sensors (Basel) ; 17(4)2017 Apr 05.
Article em En | MEDLINE | ID: mdl-28379167
Rock bolts have been widely used as rock reinforcing members in underground coal mine roadways and tunnels. Failures of rock bolts occur as a result of overloading, corrosion, seismic burst and bad grouting, leading to catastrophic economic and personnel losses. Monitoring the health condition of the rock bolts plays an important role in ensuring the safe operation of underground mines. This work presents a brief introduction on the types of rock bolts followed by a comprehensive review of rock bolt monitoring using smart sensors. Smart sensors that are used to assess rock bolt integrity are reviewed to provide a firm perception of the application of smart sensors for enhanced performance and reliability of rock bolts. The most widely used smart sensors for rock bolt monitoring are the piezoelectric sensors and the fiber optic sensors. The methodologies and principles of these smart sensors are reviewed from the point of view of rock bolt integrity monitoring. The applications of smart sensors in monitoring the critical status of rock bolts, such as the axial force, corrosion occurrence, grout quality and resin delamination, are highlighted. In addition, several prototypes or commercially available smart rock bolt devices are also introduced.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article