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- W624013973 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 videos. In this research project, the authors 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 visible to the naked eye. In this research report, the authors explain the basic concept and mathematical theory for their proposed so-called virtual visual sensors (VVS), present a set of laboratory experiments to demonstrate the accuracy of the approach, and provide two practical monitoring examples of in-services bridges. Finally, the authors discuss future work to improve the current methodology." @default.
- W624013973 created "2016-06-24" @default.
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- W624013973 date "2014-10-01" @default.
- W624013973 modified "2023-09-27" @default.
- W624013973 title "Exploration of Video-Based Structural Health Monitoring Techniques" @default.
- W624013973 hasPublicationYear "2014" @default.
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