Technical Papers
Jul 28, 2015

Electrical Analysis of Smart Film-Based Crack-Width Monitoring in Bridge Infrastructure System

Publication: Journal of Infrastructure Systems
Volume 22, Issue 1

Abstract

A crack monitoring method based on a smart film crack sensor was proposed by the authors to monitor different characteristics of cracks such as initiation time, length, propagation, shape, and location. However, in engineering practice, data changes frequently after running for about half a year; it does not appear in the earlier period. Aiming at the problem, this paper focuses on electrical analysis in smart film crack monitoring. It is found that coupling capacitance increases with dielectric constant of enameled wire of the sensor, thus leading to the increase of coupling voltage and affecting the judgment. Therefore, a model is formulated to infer the relationship among the frequency of detecting signal, parasitic capacitance, and coupling interference voltage. On this basis, a smart film crack sensor is redesigned and the anti-interference circuit is added to hardware; the low-frequency detecting signal and the custom judgment mechanism are adopted to lower coupling voltage in the software. In consideration of improving the reliability of data transmission, a check mechanism is employed. Meanwhile, the improved sensor is testified to by experiments and applied to Chongqing Lijiatuo Yangtze River Bridge.

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Acknowledgments

This work is jointly supported by the Program for Innovation Team Building at Institutions of Higher Education in Chongqing (KJTD201306), the National Natural Science Foundations of China (No.61304175), the Scientific Research Foundation of Chongqing Education Commission (kj1400329), Natural Science Foundation Project of CQ (cstc2011jjA30010), the National Engineering Research Center for Inland Waterway Regulation (SLK2014B05). The authors give thanks to Minfeng Qiu for his help in translation and data collation.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 22Issue 1March 2016

History

Received: Oct 4, 2014
Accepted: May 19, 2015
Published online: Jul 28, 2015
Discussion open until: Dec 28, 2015
Published in print: Mar 1, 2016

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Authors

Affiliations

Shuliang Wang [email protected]
Associate Professor, School of Electrical Engineering and Automation, Jiangsu Normal Univ., Xuzhou 221116, China; and Dept. of Information Science and Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China (corresponding author). E-mail: [email protected]
Benniu Zhang [email protected]
Professor, Dept. of Information Science and Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China. E-mail: [email protected]
Graduate Student, Dept. of Information Science and Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China. E-mail: [email protected]
Changquan Ji [email protected]
Associate Professor, Dept. of Information Science and Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China. E-mail: [email protected]
Zhixiang Zhou [email protected]
Professor, Dept. of Civil Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China. E-mail: [email protected]

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