Exploration of video-based structural health monitoring techniques.

Details

• Creators:
  Shariati, Ali ; Schumacher, Thomas ; Ramanna, Nakul
• Corporate Creators:
  University of Delaware. Center for Innovative Bridge Engineering
• Corporate Contributors:
  Rutgers University ; Delaware. Dept. of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Structural health monitoring
  • Vibration
  • Sensors
  • Digital video
  • Laboratory tests
• Publication/ Report Number:
  CAIT-UTC-038
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Rutgers University. Center for Advanced Infrastructure and Transportation
• Description:
  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.
• Format:
  PDF
• Funding:
  DTRT12-G-UTC16
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28581/dot_28581_DS1.pdf
• File Type:
  [PDF - 20.86 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5e6cda64fc0ddb2e9e37865a7e0bf21cc27510c93630d8f0dc77f5ca135ea9c9f4b6542d74e59b168c1653e4e11bd8874be218576e7ad780fef586d6b656f85d