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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Main Document Checksum:urn:sha-512:5e6cda64fc0ddb2e9e37865a7e0bf21cc27510c93630d8f0dc77f5ca135ea9c9f4b6542d74e59b168c1653e4e11bd8874be218576e7ad780fef586d6b656f85d