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Deformation Monitoring of Metro Tunnel with a New Ultrasonic-Based System.
Xu, Dong-Sheng; Zhao, Yu-Meng; Liu, Hua-Bei; Zhu, Hong-Hu.
Afiliação
  • Xu DS; School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, China. dsxu@hust.edu.cn.
  • Zhao YM; School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, China. ymzhao1114@gmail.com.
  • Liu HB; School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, China. hbliu@hust.edu.cn.
  • Zhu HH; School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China. zhh@nju.edu.cn.
Sensors (Basel) ; 17(8)2017 Aug 01.
Article em En | MEDLINE | ID: mdl-28763034
ABSTRACT
With the rapid construction of metro tunnels in many metropolises, a fast and convenient solution to capture tunnel deformation is desired by civil engineers. This contribution reports an automatic and wireless tunnel deformation monitoring system using ultrasonic transducers. A processing algorithm of the redundant ultrasonic information (RUI) approach is proposed to improve measurement accuracy. The feasibility of this tunnel deformation monitoring method is carefully examined with various probe angles, distances, and surrounding temperature variations. The results indicate that high accuracy can be achieved with different coefficients for various probe angles and sensor distances, as well as temperatures. In addition, a physical tunnel model was fabricated to verify the new processing algorithm of the RUI approach for a wireless tunnel deformation sensing system. The test results reveal that average measurement errors decreased from 7% to 3.75% using the RUI approach. Therefore, it can be concluded that the proposed approach is well suited to the automatic detection of critical conditions such as large deformation events in metro tunnels.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China