Techno Press
Techno Press

Smart Structures and Systems   Volume 12, Number 3, September-October 2013, pages 363-379
DOI: http://dx.doi.org/10.12989/sss.2013.12.3_4.363
 
A vision-based system for dynamic displacement measurement of long-span bridges: algorithm and verification
X.W. Ye, Y.Q. Ni, T.T. Wai, K.Y. Wong, X.M. Zhang and F. Xu

 
Abstract     [Full Text]
    Dynamic displacement of structures is an important index for in-service structural condition and behavior assessment, but accurate measurement of structural displacement for large-scale civil structures such as long-span bridges still remains as a challenging task. In this paper, a vision-based dynamic displacement measurement system with the use of digital image processing technology is developed, which is featured by its distinctive characteristics in non-contact, long-distance, and high-precision structural displacement measurement. The hardware of this system is mainly composed of a high-resolution industrial CCD (charge-coupled-device) digital camera and an extended-range zoom lens. Through continuously tracing and identifying a target on the structure, the structural displacement is derived through cross-correlation analysis between the predefined pattern and the captured digital images with the aid of a pattern matching algorithm. To validate the developed system, MTS tests of sinusoidal motions under different vibration frequencies and amplitudes and shaking table tests with different excitations (the El-Centro earthquake wave and a sinusoidal motion) are carried out. Additionally, in-situ verification experiments are performed to measure the mid-span vertical displacement of the suspension Tsing Ma Bridge in the operational condition and the cable-stayed Stonecutters Bridge during loading tests. The obtained results show that the developed system exhibits an excellent capability in real-time measurement of structural displacement and can serve as a good complement to the traditional sensors.
 
Key Words
    vision-based system; displacement measurement; digital image processing; pattern matching algorithm; cable-supported bridge; experimental verification
 
Address
X.W. Ye, Y.Q. Ni, T.T. Wai and F. Xu : Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University,Hung Hom, Kowloon, Hong Kong
X.W. Ye : Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
K.Y. Wong: Highways Department, The Hong Kong SAR Government, Hong Kong
X.M. Zhang: Intelligent Structural Health Monitoring R&D Centre, The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
 

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