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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 HeeKang, 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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공과대학 > Department of Civil Engineering > Journal Articles

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공과대학 (토목공학과)
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