University of Illinois Urbana-Champaign

Laser scan point cloud processing for displacement measurements of damaged steel I-girders

Schissler, Lauren Regina

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https://hdl.handle.net/2142/124440

Description

Title
Laser scan point cloud processing for displacement measurements of damaged steel I-girders
Author(s)
Schissler, Lauren Regina
Issue Date
2024-04-30
Director of Research (if dissertation) or Advisor (if thesis)
  • Elbanna, Ahmed E
  • Fahnestock, Larry A
  • LaFave, James M
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Terrestrial laser scan
  • Point cloud
  • Steel-girder bridge
  • Over-height vehicle
  • Impact damage
  • Displacement measurement
Abstract
Bridge strikes are events where a bridge superstructure is struck from beneath by an over-height vehicle, causing damage to the bridge. When a bridge strike event occurs, bridge owners must assess the damage and decide what, if any, action is required to maintain bridge functionality and safety. There is a growing body of literature exploring terrestrial laser scanning applications for bridge construction, operation, and maintenance. However, only one instance has been found where laser scanning was applied to investigate impact damage for steel I-girder bridges. A new procedure is presented for processing laser scan point cloud data of I-shaped steel bridge girders damaged by impact. The procedure extracts the bottom flange displacements over the length of the damaged girder span by combining existing point cloud processing techniques, including statistical outlier removal, voxelization, cross-sectional slicing, and RANSAC regression. Laser scan data from a damaged steel-girder highway bridge in Mt. Vernon, IL is used as a case study. The measurement procedure is designed to be implemented in real-world practice.
Graduation Semester
2024-05
Type of Resource
Thesis
Copyright and License Information
Copyright 2024 Lauren Regina Schissler

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