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http://dx.doi.org/10.12989/sss.2021.27.2.227

Implementation of video motion magnification technique for non-contact operational modal analysis of light poles  

Thiyagarajan, Jothi S. (School of Infrastructure, Indian Institute of Technology Bhubaneswar)
Siringoringo, Dionysius M. (Institute of Advanced Sciences, Yokohama National University)
Wangchuk, Samten (Department of Urban Innovation, Yokohama National University)
Fujino, Yozo (Institute of Advanced Sciences, Yokohama National University)
Publication Information
Smart Structures and Systems / v.27, no.2, 2021 , pp. 227-239 More about this Journal
Abstract
Damages on lights and utility poles mounted on the elevated highway or railway bridges were observed in the past several large earthquakes. The damages could have serious consequences to public safety, travelling vehicles or trains, and nearby properties. A previous study shows that the damages were caused by buckling and yielding of the pole due to excessive response amplification during large earthquake. Such amplification occurs when the bridge's natural frequency is close to the light pole's fundamental frequency. An investigation of the seismic performance of existing light pole mounted on elevated highway bridges is needed to avoid the response amplification. This includes the identification of the light pole's natural frequency and damping ratio. Vibration testing of the light pole using conventional contact sensors individually would require enormous effort and is time-consuming. Moreover, such vibration testing on a highway bridge deck would require traffic disruption to provide access. Video camera-based non-contact vision sensing is seen as a promising alternative to the conventional contact sensors for this purpose. The objective of this paper is to explore the use of non-contact vision sensing for operational modal analysis of light pole on highway viaduct. The phase-based video motion magnification method is implemented to obtain the light pole response in an ambient condition. Using this method, small and invisible displacement is magnified for a certain range of frequency of interest. Based on the magnified video frames, structural displacement is extracted using the image processing technique. The natural frequency and damping ratio of the light pole are estimated using the random decrement technique. The method is verified in a laboratory-scale experiment and implemented to practical field measurements of a light pole on a highway viaduct in Kanagawa, Japan. The results are compared with measurement by Laser Doppler Vibrometer. Both experiments suggest that the method could effectively obtain the natural frequency and damping ratio of the structures under the ambient condition where vibration amplitudes are very small and invisible with reasonable accuracy.
Keywords
computer vision; motion magnification; operational modal analysis; light pole; vibration measurement;
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