Bridge Modal Identification via Video Processing and Quantification of Uncertainties (3.8)

Bridges form a critical category of the U.S. transportation infrastructure, yet the current structural condition is only evaluated at “C+” according to the 2017 ASCE Infrastructure Report Card. In addition to the fact that 9.1% of the bridges in U.S. are structurally deficient, the bridges in New England are especially experiencing the burden of busy traffic and harsh wintery weather. There is a variety of factors that may affect the bridge dynamics and deteriorate the structures, such as creeping, corrosion, cyclic thermal loadings and accidental damages, and identification modal properties provides a global evaluation capability with rich physical meaning. However, this complicated scenario brings up the demanding in conducting the heterogeneous data acquisition and in-situ modal analysis, as well as quantifying the enormous amount of uncertainties that may come across. The problem the project team is trying to solve is to adopt portable video cameras and by processing the acquired videos, bridge dynamic systems, especially full-field mode shapes will be extracted to enhance the status awareness. The challenges exist while dealing with the rapidly changing environments and traffics, so that the statistical modeling is needed when interpreting the extracted information.

• Record URL:
  https://tidc.umaine.edu/tidc_project/3-8-uml/

Language

• English

Project

• Status: Terminated
• Funding: $263388
• Contract Numbers:

  69A3551847101

• Sponsor Organizations:

  University of Massachusetts Lowell

  One University Drive
  Lowell, MA  United States  01854

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Infrastructure Durability Center

  University of Maine
  Orono, ME  United States  04469

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Dunn, Denise

• Performing Organizations:

  Transportation Infrastructure Durability Center

  University of Maine
  Orono, ME  United States  04469

  University of Massachusetts Lowell

  One University Drive
  Lowell, MA  United States  01854
• Principal Investigators:

  Mao, Zhu

• Start Date: 20190101
• Expected Completion Date: 20211231
• Actual Completion Date: 20210903
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bridges; Corrosion; Creep; Mathematical models; Modal analysis; Monitoring; Repeated loads; Uncertainty; Video cameras
• Geographic Terms: New England
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01698520
• Record Type: Research project
• Source Agency: Transportation Infrastructure Durability Center
• Contract Numbers: 69A3551847101
• Files: UTC, RIP
• Created Date: Mar 5 2019 9:43AM