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Advances in Materials Science and Engineering
Volume 2016, Article ID 1871230, 14 pages
Research Article

Experimental Research on Quick Structural Health Monitoring Technique for Bridges Using Smartphone

Xuefeng Zhao,1,2,3 Kwang Ri,1,2,3,4 Ruicong Han,1,2,3 Yan Yu,5 Mingchu Li,6 and Jinping Ou1,2,3,7

1School of Civil Engineering, Dalian University of Technology, Dalian 116024, China
2State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
3Research Center of Structural Smartphone Cloud Monitoring, Dalian University of Technology, Dalian 116024, China
4School of Civil Engineering, Pyongyang University of Architecture, Pyongyang 1001, Democratic People’s Republic of Korea
5School of Electronic Science and Technique, Dalian University of Technology, Dalian 116000, China
6School of Software Technology, Dalian University of Technology, Dalian 116000, China
7School of Civil Engineering, Harbin Institute of Technology, Harbin 150000, China

Received 19 May 2016; Accepted 25 September 2016

Academic Editor: Chunhui Yang

Copyright © 2016 Xuefeng Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the recent years, with the development and popularization of smartphone, the utilization of smartphone in the Structural Health Monitoring (SHM) has attracted increasing attention owing to its unique feature. Since bridges are of great importance to society and economy, bridge health monitoring has very practical significance during its service life. Furthermore, rapid damage assessment of bridge after an extreme event such as earthquake is very important in the recovery work. Smartphone-based bridge health monitoring and postevent damage evaluation have advantages over the conventional monitoring techniques, such as low cost, ease of installation, and convenience. Therefore, this study investigates the implementation feasibility of the quick bridge health monitoring technique using smartphone. A novel vision-based cable force measurement method using smartphone camera is proposed, and, then, its feasibility and practicality is initially validated through cable model test. An experiment regarding multiple parameters monitoring of one bridge scale model is carried out. Parameters, such as acceleration, displacement, and angle, are monitored using smartphone. The experiment results show that there is a good agreement between the reference sensor and smartphone measurements in both time and frequency domains.