Date of Award
2-5-2025
Publication Type
Thesis
Degree Name
M.A.Sc.
Department
Civil and Environmental Engineering
Supervisor
Rajeev Ruparathna
Supervisor
Niel Van Engelen
Rights
info:eu-repo/semantics/embargoedAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Terrestrial laser scanning (TLS) has emerged as a powerful tool in bridge asset management, offering high precision and efficiency for capturing geometric data. Its applications extend beyond traditional methods, encompassing crack mapping, surface defect detection, and long-term structural health monitoring. However, despite its recognized potential, the impact of scanning angles, resolutions, and the absence of standardized procedures remains a critical challenge. This research addresses these gaps by investigating the influence of scanning parameters on TLS accuracy, particularly for bridge elements like concrete beams and piers. Simulated defects were introduced to mimic real-world conditions, with point clouds processed to evaluate the volumetric accuracy of surface deformations. The results revealed the optimal scanning resolution for various scanning angles and different structural elements with various shapes, leading to significant reduced operational time and consequently lower overall costs. Furthermore, this thesis highlights the limitations of manual, paper-based bridge inspection methods, which are often imprecise, labor-intensive, and reliant on inspector expertise. This research advances digitalization efforts, thereby contributing to the development of reliable bridge information models (BrIM) and promoting the use of digital twins in infrastructure management. The findings offer practical guidelines for industry adoption of TLS, establishing it as a cost-effective and efficient compliment to traditional inspection methods. Ultimately, this study supports safer, more durable bridge structures and enhances overall infrastructure management practices within the architecture, engineering, and construction (AEC) industry.
Recommended Citation
Rowshanzamir, Mohammadsalim, "3D Scanning Guidelines for Determining Spalling Defect Volumes in Concrete Bridge Piers and Beams" (2025). Electronic Theses and Dissertations. 9637.
https://scholar.uwindsor.ca/etd/9637