Development of an Automated Bridge Inspection Methodology using Digital Image Correlation - Phase I

An experimental study will be undertaken in which a series of steel compact specimens (C(T)) and steel bridge girder components will be tested in the KU Structural Engineering Laboratory. Specimens will be loaded cyclically to introduce and propagate fatigue cracks, and a digital image correlation (DIC) will be used to develop capabilities for detecting and monitoring fatigue cracking. The limits of the DIC system will be examined with respect to crack orientation (in-plane and out-of-plane), crack size (length and opening), and system proximity and orientation to the specimen. These results will be used to determine thresholds of applicability for use in automated bridge inspection. Examination of DIC output with respect to crack initiation and propagation will be used to develop an automated crack identification methodology. This research program is anticipated to lead to implementation of DIC for automated bridge inspections as part of robotic bridge inspection systems in future projects related to automated crack inspection.

• Record URL:
  http://matc.unl.edu/research/research_project.php?researchID=521

Language

• English

Project

• Status: Completed
• Funding: $171422
• Contract Numbers:

  69A3551747107

• Sponsor Organizations:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851

  Office of the Assistant Secretary for Research and Technology

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

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  University of Kansas, Lawrence

  Department of Civil Engineering, 2006 Learned Hall
  Lawrence, KS  United States  66045-2225
• Principal Investigators:

  Collins, William

• Start Date: 20161205
• Expected Completion Date: 20190731
• Actual Completion Date: 20181231
• USDOT Program: University Transportation Centers Program
• Source Data: RiP Project 91994-6

Subject/Index Terms

• TRT Terms: Automation; Fatigue cracking; Flaw detection; Image analysis; Inspection; Steel bridges; Structural analysis
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01662478
• Record Type: Research project
• Source Agency: Mid-America Transportation Center
• Contract Numbers: 69A3551747107
• Files: UTC, RIP
• Created Date: Mar 9 2018 3:23PM