Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet plus plus algorithmsopen access
- Authors
- Lee, Jae Hee; Kang, Leen Seok
- Issue Date
- Jul-2025
- Publisher
- Architectural Institute of Japan
- Keywords
- PointNet; PointNet plus; automatic classification; Design 3D model
- Citation
- Journal of Asian Architecture and Building Engineering
- Indexed
- SCIE
AHCI
SCOPUS
- Journal Title
- Journal of Asian Architecture and Building Engineering
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/79622
- DOI
- 10.1080/13467581.2025.2533231
- ISSN
- 1346-7581
1347-2852
- Abstract
- A design model comprises the elemental units of a structure. These elements should be extracted and classified into detailed components to use this model during the construction life cycle. However, owing to the increasing scale and complexity of construction projects, the complexity and level of detail of design models have increased significantly due to the growing scale of construction projects, along with the number of components they contain. Therefore, an efficient method to accurately classify the detailed components of the design model should be devised. We used PointNet and PointNet++ to automatically classify construction activity units of bridge design models. The accuracies of these methods for the automatic classification of abutment, pier, and bridge design models were validated, reaching 0.9 similar to 1.0, 1.0, and 0.69 similar to 0.99, respectively. The proposed automatic classification approach may enable the reuse of design models throughout the construction life cycle.
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Collections - 공과대학 > Department of Civil Engineering > Journal Articles

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