United States Department of Transportation
i
Exploration of video-based structural health monitoring techniques.
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2014-10-01
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Abstract:Structural health monitoring (SHM) has become a viable tool to provide owners with objective data for maintenance and repair. Traditionally, discrete contact sensors such as strain gages or accelerometers have been used
for SHM. However, distributed remote sensors could be advantageous since they don’t require cabling and can
cover an area rather than a limited number of discrete points. Digital image correlation (DIC) has been used
successfully but has disadvantages in terms of complexity and computational costs when applied to vides. In this
research project, we investigated and proposed a different approach. The basic concept is that small changes in
the intensity value of a monitored pixel with fixed (or Eulerian) coordinates caused by the vibration of structures
can be captured, even if it is not invisible to the naked eye. In this research report, we explain the basic concept
and mathematical theory for our proposed so-called virtual visual sensors (VVS), we present a set of laboratory
experiments to demonstrate the accuracy of the approach, and provide two practical monitoring examples of
in-services bridges. Finally, we discuss future work to improve the current methodology.
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