Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms
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 de...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-07-01
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| Series: | Journal of Asian Architecture and Building Engineering |
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| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2533231 |
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| _version_ | 1849319073484111872 |
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| author | Jae Hee Lee Leen Seok Kang |
| author_facet | Jae Hee Lee Leen Seok Kang |
| author_sort | Jae Hee Lee |
| collection | DOAJ |
| description | 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 ~ 1.0, 1.0, and 0.69 ~ 0.99, respectively. The proposed automatic classification approach may enable the reuse of design models throughout the construction life cycle. |
| format | Article |
| id | doaj-art-22323e4fdb6748afa793f31f5a2b4ec8 |
| institution | Kabale University |
| issn | 1347-2852 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj-art-22323e4fdb6748afa793f31f5a2b4ec82025-08-20T03:50:38ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522025-07-010011910.1080/13467581.2025.25332312533231Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithmsJae Hee Lee0Leen Seok Kang1Gyeongsang National UniversityGyeongsang National UniversityA 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 ~ 1.0, 1.0, and 0.69 ~ 0.99, respectively. The proposed automatic classification approach may enable the reuse of design models throughout the construction life cycle.http://dx.doi.org/10.1080/13467581.2025.2533231pointnetpointnet++automatic classificationdesign 3d model |
| spellingShingle | Jae Hee Lee Leen Seok Kang Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms Journal of Asian Architecture and Building Engineering pointnet pointnet++ automatic classification design 3d model |
| title | Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms |
| title_full | Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms |
| title_fullStr | Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms |
| title_full_unstemmed | Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms |
| title_short | Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms |
| title_sort | validation of a methodology to automatically classify design stage 3d models into activity units using pointnet and pointnet algorithms |
| topic | pointnet pointnet++ automatic classification design 3d model |
| url | http://dx.doi.org/10.1080/13467581.2025.2533231 |
| work_keys_str_mv | AT jaeheelee validationofamethodologytoautomaticallyclassifydesignstage3dmodelsintoactivityunitsusingpointnetandpointnetalgorithms AT leenseokkang validationofamethodologytoautomaticallyclassifydesignstage3dmodelsintoactivityunitsusingpointnetandpointnetalgorithms |