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 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.

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Publication Details

Journal
Journal of Asian Architecture and Building Engineering
Published
2025-07-14
DOI
https://doi.org/10.1080/13467581.2025.2533231
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms

Leen Seok Kang, Jae Hee Lee
Journal of Asian Architecture and Building Engineering
BIM and Construction Integration
article

Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms

Leen Seok Kang, Jae Hee Lee
article en

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 ~ 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.

Journal of Asian Architecture and Building Engineering
Gyeongsang National University (KR)
Korea Agency for Infrastructure Technology Advancement
Openalex Percentile: Top 82%
BIM and Construction Integration
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Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms — Leen Seok Kang, Jae Hee Lee · Journal of Asian Architecture and Building Engineering (2025) | TGRS Research Map | TGRS