Evaluating Bridge Behavior Using Ultra-High Resolution Next-Generation Digital Image Correlation (DIC): Applications in Bridge Inspection and Damage Assessment

Due to heavy cost burdens, departments of transportation are increasingly seeking new technologies that can facilitate monitoring their bridge portfolios and reduce the need for costly interventions. Deformation measurements, such as bridge deflections, material strains, and crack progression under load and over time, are at the heart of damage and capacity evaluations for bridges. However, measuring the necessary structural deformations is currently time consuming, requires direct access to the structure, and often suffers from user-bias. Digital Image Correlation (DIC) is a non-contact technology that utilizes specialized digital cameras to deliver high-resolution deformation data between successive images and over large areas of a structure. The technology is advancing rapidly and has recently been proven in laboratory settings to possess the unique ability, amongst competing technologies, to deliver the necessary high-resolution deformation data that can greatly improve the accuracy and reduce the conservatism of structural evaluations. This project will deliver a state-of-the-art DIC system that can monitor strains and deformations during bridge load testing, as well as monitor damage progression in concrete and steel bridges over time. The system will accelerate and reduce the cost of bridge inspections, while delivering previously inaccessible data for streamlining bridge capacity evaluations and rehabilitation decisions.


  • English


  • Status: Completed
  • Funding: $419,432
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Schwerdt, Tom

  • Performing Organizations:

    The University of Texas at San Antonio

    One UTSA Circle
    San Antonio, TX  United States  78249
  • Principal Investigators:

    Ghannoum, Wassim

  • Start Date: 20170901
  • Expected Completion Date: 20201231
  • Actual Completion Date: 20201231

Subject/Index Terms

Filing Info

  • Accession Number: 01648607
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-6950
  • Files: RIP, STATEDOT
  • Created Date: Oct 20 2017 9:49AM