Development of Improved Inspection Techniques using LiDAR for Deteriorated Steel Beam Ends
项目名称: Development of Improved Inspection Techniques using LiDAR for Deteriorated Steel Beam Ends
摘要: 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.
状态: Active
资助组织: Massachusetts Department of Transportation
主要研究人员: Gerasimidis Ph.D., Simos;Ai, Chengbo;Brena, Sergio F
开始时间: 20220501
预计完成日期: 20231130
主题领域: Bridges and other structures;Design;Highways;Maintenance and Preservation
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