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Abstract

The integration of Building Information Modeling (BIM) and Digital Twin (DT) technologies offers new opportunities for enhancing reinforcement design and on-site constructability. This study addresses a current gap in DT applications by introducing an intelligent framework that simultaneously automates rebar layout generation and reduces rebar cutting waste (RCW), two challenges often overlooked during the construction execution phase. The system employs heuristic algorithms to generate constructability-aware rebar configurations and leverages Industry Foundation Classes (IFC) schema-based data models for interoperability. The framework is implemented using Autodesk Revit and Dynamo for rebar modeling and layout generation, Microsoft Project for schedule integration, and Autodesk Navisworks for clash detection. Real-time scheduling synchronization is achieved through IFC schema-based BIM models linked to construction timelines, while embedded clash detection and constructability feedback loops allow for iterative refinement and improved installation feasibility. A case study on a high-rise commercial building demonstrates substantial material savings, improved constructability, and reduced layout time, validating the practical advantages of BIM–DT integration for RC construction.

Details

1009240
Business indexing term
Title
Integrating Digital Twin and BIM for Special-Length-Based Rebar Layout Optimization in Reinforced Concrete Construction
Author
Widjaja, Daniel Darma 1   VIAFID ORCID Logo  ; Lim Jeeyoung 1   VIAFID ORCID Logo  ; Kim Sunkuk 2   VIAFID ORCID Logo 

 Department of Architectural Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea; [email protected] (D.D.W.); [email protected] (J.L.) 
 Department of R&D, Earth Turbine, Co., Ltd., Daegu 41507, Republic of Korea 
Publication title
Buildings; Basel
Volume
15
Issue
15
First page
2617
Number of pages
22
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20755309
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-07-23
Milestone dates
2025-06-27 (Received); 2025-07-21 (Accepted)
Publication history
 
 
   First posting date
23 Jul 2025
ProQuest document ID
3239021596
Document URL
https://www.proquest.com/scholarly-journals/integrating-digital-twin-bim-special-length-based/docview/3239021596/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-08-13
Database
ProQuest One Academic