Monitoring Transportation Structure Integrity Loss and Risk with Structure-From-Motion

This report describes methods that allow for assessing structural integrity using a direct porting of imaging methods captured by both hand-held and uncrewed aircraft system (UAS)-assisted photography into computational analysis tools to monitor structural degradation of transportation structures. Of primary interest is the level of accuracy of cracked structures and their evolution over time using structure from motion (SfM). Imaging methods using light detection and ranging (LiDAR) scanning and the modeling of particle flow are also explored, with the focus of these two techniques being longer, more slender structures and the effects of debris flow on transportation infrastructure. Imaging techniques show great promise, with cracks being detected down to the centimeter scale, while finite element and discrete element models also show potential in these image-to-model simulations.

• Record URL:
  • https://www.ugpti.org/resources/reports/details.php?id=1230
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/78993
• Summary URL:
  • https://rosap.ntl.bts.gov/view/dot/79676
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Title page date: October 2024.
• Corporate Authors:

  Colorado State University, Fort Collins

  Department of Civil and Environmental Engineering
  Fort Collins, CO  United States  80525

  Mountain-Plains Consortium

  North Dakota State University
  Fargo, ND  United States  58108

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Davis, Will
  • Heyliger, Paul
• Publication Date: 2024-8

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Photos;
• Pagination: 29p

Subject/Index Terms

• TRT Terms: Cracking; Drones; Image analysis; Laser radar; Methodology; Photography; Structural health monitoring
• Subject Areas: Bridges and other structures; Data and Information Technology; Maintenance and Preservation; Transportation (General);

Filing Info

• Accession Number: 01941304
• Record Type: Publication
• Report/Paper Numbers: MPC-571, MPC 24-569
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Dec 30 2024 9:58AM