Montreal, Quebec, Canada
June 22, 2025
June 22, 2025
August 15, 2025
Construction Engineering Division: Emerging Technologies and Data Analytics
Construction Engineering Division (CONST)
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10.18260/1-2--55429
https://peer.asee.org/55429
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Dr. Lee's research interest is in information technology and strategic decision-making practices in various engineering management fields. His current research topics include using a 3D scanner for the analysis of as-built drawings and advanced Building Information Modeling (BIM) applications.
Dr. Jeyoung Woo is an associate professor in the Department of Civil Engineering at California State Polytechnic University, Pomona (Cal Poly Pomona). He is a registered Professional Engineer (Civil - Construction) in Texas. He has worked in the industry for nine years and he has conducted several research projects about engineering education, construction labor productivity, and construction sustainability. He earned a Ph.D. and an M.S. in Civil Engineering from The University of Texas at Austin (UT-Austin) and a B.S. in Architectural Engineering from Hanyang University, ERICA. He is a member of the American Society for Engineering Education (ASEE), the American Society of Civil Engineers (ASCE) and the Project Management Institute (PMI).
The construction industry is increasingly adopting 3D scanning technology, which has gained popularity as the technology advances. Laser scanning can accurately map and visualize existing infrastructure, providing data-rich 3D point cloud models. This technology serves as a fundamental platform for Building Information Modeling (BIM) and immersive technology. Recent studies suggest that using appropriate 3D scanning techniques can enhance the reconstruction processes of existing buildings, particularly in the absence of necessary documentation. During inspections, 3D scanners not only enable safe assessments of current structural conditions but also improve the quality and accuracy of inspections compared to traditional visual methods. Additionally, 3D scanners can measure existing buildings when drawings are unavailable, leading to reduced construction time and costs. This paper presents a case study conducted on a university campus building, focusing on ensuring the accuracy of point cloud data for potential future work. The study follows a three-step process: 1) Using a 3D scanner to gather point cloud data from the existing building, 2) Measuring the existing building using the collected point cloud data, and 3) Comparing the point cloud data with in-situ measurements for validation and quality assessment using statistical analysis methods. In conclusion, this project highlights the potential of 3D scanning technology to optimize construction processes, improve inspection outcomes, and facilitate data-driven decision-making in the built environment.
Lee, J., & Woo, J., & Ng, A. (2025, June), Analysis of Existing Building Structures Using Laser Scanner and 3D Models Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . 10.18260/1-2--55429
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