Generation of construction schedule information through activity unit recognition of 3D models created at the design phase

Since the 3D model in the design phase is composed of the concept of structural elements, and the 3D model in the construction phase requires a model of the activity unit, the utilization of the design-phase 3D model in the construction phase is reduced due to the different LOD of the model. In order to utilize the design-phase 3D model for schedule management in the construction phase, the process of recognizing each element of the model as an activity unit and the process of setting construction sequence between the recognized activities are required manually. To solve these problems, this study presents a methodology that can automatically recognize the 3D model by classifying it into activity units with PointNet++ algorithm and generate an optimized construction sequence with a genetic algorithm. Three bridge models were used to verify the proposed methodology, and after checking the automatic classification accuracy of activity units, the appropriateness of the schedule sequence was verified by 4D simulation. The PointNet++ algorithm used to classify the activity units showed classification accuracy of 0.90, 0.89, and 0.98, and the genetic algorithm results confirmed that the construction sequence was optimized in >94 % of the activity units.

Authors

Institutions

Publication Details

Journal
KSCE Journal of Civil Engineering
Published
2025-02-05
DOI
https://doi.org/10.1016/j.kscej.2025.100175
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation of construction schedule information through activity unit recognition of 3D models created at the design phase

Leen-Seok Kang, Jaehee Lee
1 citations
KSCE Journal of Civil Engineering
BIM and Construction Integration
1.01
article

Generation of construction schedule information through activity unit recognition of 3D models created at the design phase

Leen-Seok Kang, Jaehee Lee
article en
1 citations

Abstract

Since the 3D model in the design phase is composed of the concept of structural elements, and the 3D model in the construction phase requires a model of the activity unit, the utilization of the design-phase 3D model in the construction phase is reduced due to the different LOD of the model. In order to utilize the design-phase 3D model for schedule management in the construction phase, the process of recognizing each element of the model as an activity unit and the process of setting construction sequence between the recognized activities are required manually. To solve these problems, this study presents a methodology that can automatically recognize the 3D model by classifying it into activity units with PointNet++ algorithm and generate an optimized construction sequence with a genetic algorithm. Three bridge models were used to verify the proposed methodology, and after checking the automatic classification accuracy of activity units, the appropriateness of the schedule sequence was verified by 4D simulation. The PointNet++ algorithm used to classify the activity units showed classification accuracy of 0.90, 0.89, and 0.98, and the genetic algorithm results confirmed that the construction sequence was optimized in >94 % of the activity units.

KSCE Journal of Civil EngineeringVol. 29(8)
Gyeongsang National University (KR)
Korea Agency for Infrastructure Technology Advancement
Openalex Percentile: Top 28%
BIM and Construction Integration
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.