Development of Improved Inspection Techniques using LiDAR for Deteriorated Steel Beam Ends

There is an emerging need for MassDOT to leverage the strength of LiDAR point cloud data and incorporate such a promising technology into their bridge inspection practices if it is deemed feasible. 1. To evaluate the accuracy and repeatability of LiDAR in quantifying key parameters for evaluating the residual capacity of the bridge, including the out-of-plane imperfection of the beam web, the surface area of corrosion, through lab experiments. 2. To develop and validate automated or semi-automated point cloud processing methods, e.g., extraction of surface corrosion areas and measurement of the corresponding surface distortion. 3. To develop practical and yet effective operational on-site procedures for collecting critical data from in-service steel beam ends using LiDAR, including pre-/mid-/post-inspection setup, optimal sensor parameters and scanning configurations, etc., through lab and field experiments. 4. To propose updates to the MassDOT Bridge Design Manual for the estimation of the remaining capacity of steel beams, based on the research results.

Language

  • English

Project

  • Status: Active
  • Sponsor Organizations:

    Massachusetts Department of Transportation

    10 Park Plaza
    Boston, MA  United States  02116
  • Principal Investigators:

    Gerasimidis, Simos

    Ai, Chengbo

    Brena, Sergio

  • Start Date: 20220501
  • Expected Completion Date: 20231130
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01848414
  • Record Type: Research project
  • Source Agency: Massachusetts Department of Transportation
  • Files: RIP, STATEDOT
  • Created Date: Jun 13 2022 9:32AM