2025 ASEE Annual Conference & Exposition

Analysis of Existing Building Structures Using Laser Scanner and 3D Models

Presented at Construction Engineering Division: Emerging Technologies and Data Analytics

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.

Authors
  1. Dr. Jay Lee California Baptist University [biography]
  2. Dr. Jeyoung Woo California State Polytechnic University, Pomona [biography]
  3. Allan Ng California State Polytechnic University, Pomona
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025