journal article·2025-10-08Open access

Optimizing Reinforcement Bar Fabrication in Construction Projects via Multi-Dimensional Applications in Building Information Modeling

Yu Luo, Yiminxuan Liu, Xiaofeng Liao, Changsaar Chai, Heap-Yih Chong, Yongtong Huang, Zhaoyin Zhou

Applied Sciences· Volume 15· Issue 19

Abstract

Steel reinforcement is one of the most important materials used in the construction industry. This research optimizes reinforcement bar fabrication by integrating Building Information Modeling (BIM) with visual programming in Dynamo. On-site rebar cutting and bending generate significant material waste, increasing costs and environmental impact. To address this, an intelligent Dynamo script was developed to extract detailed 3D rebar and 4D scheduling data from BIM models. The script optimizes material usage by specifying cut-off lengths to improve reuse and minimize waste. Validation through two real-world case studies demonstrated the method’s significant potential. Effectiveness was assessed using benchmarks comparing the number of bars saved, waste reduced, and overall cost savings. The study confirms that optimized fabrication significantly cuts waste and cost. Its effectiveness, however, varies with rebar type and structural component, with the most significant gains observed in medium-length bars and pile caps. By offering a novel tool for sustainable construction, this research advances BIM-enabled reinforcement design and material optimization.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: BIM and Construction Integration · Innovations in Concrete and Construction Materials · Infrastructure Maintenance and Monitoring

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Civil and Hydraulic Engineering, Chongqing University of Science and Technology, Chongqing 401331, China

Chongqing Vocational College of Applied Technology, Chongqing 401520, China

School of Architecture, Building and Design, Taylor University, Selangor 47500, Malaysia

School of Engineering Audit, Nanjing Audit University, Nanjing 211825, China

School of Management, Chongqing University of Science and Technology, Chongqing 401331, China

Funding

Ministry of Higher Education Malaysia, Fundamental Research Grant Scheme (FRGS) · Chongqing University of Science and Technology (CQUST)

References (33)

Show source-provided references
1. A case study on the effective implementation of the reuse and recycling of construction & demolition waste management practices in Malaysia10.1016/j.asej.2020.07.005 ↗
2. BIM-based life cycle assessment for different structural system scenarios of a residential building10.1016/j.asej.2022.101802 ↗
3. Optimization of reinforcement steel supply to precast concrete plants10.1007/s12517-019-4347-7 ↗
4. Influence of rebar practice in the total cost of building construction projects: The case of hawassa city, ethiopia10.4314/ijest.v12i1.5 ↗
5. Cho, S., and Na, S. (2017). The Reduction of CO2 Emissions by Application of High-Strength Reinforcing Bars to Three Different Structural Systems in South Korea. Sustainability, 9.10.3390/su9091652 ↗
6. Clash relevance prediction based on machine learning10.1061/(ASCE)CP.1943-5487.0000810 ↗
7. Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and building information modeling10.1016/j.autcon.2019.103062 ↗
8. BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 1. Principles and methodologies10.1016/j.autcon.2010.09.013 ↗
9. BIM-BVBS integration with openBIM standards for automatic prefabrication of steel reinforcement10.1016/j.autcon.2021.103654 ↗
10. BIM-based steel reinforcing bar detail construction design and picking optimization10.1016/j.istruc.2023.01.004 ↗
11. Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning10.1016/j.aei.2023.102131 ↗
12. An interactive and collaborative augmented reality environment for civil engineering education: Steel reinforcement bars teaching as an example10.1108/ECAM-06-2022-0557 ↗
13. Khant, L.P., Widjaja, D.D., Kwon, K., and Kim, S. (2024). A BIM-based bar bending schedule generation algorithm with enhanced accuracy. Buildings, 14.10.20944/preprints202403.1856.v1 ↗
14. Optimizing sustainable alternatives in value engineering Decision-Making through BIM-Integrated plugin automation for buildings10.1016/j.asej.2025.103373 ↗
15. Shi, A., Shirowzhan, S., Sepasgozar, S.M., and Kaboli, A. (2020). 5D BIM applications in quantity surveying: Dynamo and 3D printing technologies. Smart Cities and Construction Technologies, InTech Open.10.5772/intechopen.91221 ↗
16. Analytical modelling in Dynamo
17. Dynamo script and a BIM-based process for measuring embodied carbon in buildings during the design phase10.1093/ijlct/ctad053 ↗
18. Enhancing environmental sustainability over building life cycles through green BIM: A review10.1016/j.autcon.2015.06.003 ↗
19. Sacks, R., Eastman, C.M., Lee, G., and Teicholz, P. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors, John Wiley & Sons.10.1002/9781119287568 ↗
20. Optimized reinforcement detailing design for sustainable construction: Slab case study10.1016/j.proeng.2016.04.186 ↗
21. A survey on modeling guidelines for quantity takeoff-oriented BIM-based design10.1016/j.autcon.2013.05.005 ↗
22. Implementing multi-objective genetic algorithms for scheduling optimization of construction projects
23. Generating construction schedules through automatic data extraction using open BIM (building information modeling) technology10.1016/j.autcon.2013.05.020 ↗
24. Mangal, M., Wang, Q., and Cheng, J.C.P. (July, January 28). Automated clash resolution of steel rebar in RC beam- column joints using BIM and GA. Proceedings of the 2017 34rd ISARC, Taipei, Taiwan.10.22260/ISARC2017/0005 ↗
25. Semi-automatic and specification-compliant cost estimation for prefabricated buildings based on BIM and ontologies
26. Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD10.1016/j.autcon.2014.04.009 ↗
27. Cheng, J.C.P., and Li, K.C.T. (2019). Developing a BIM-Assisted 3D Access Point Placement Optimization Algorithm for Enhancing Wi-Fi Fingerprint-Based Indoor Positioning. Computing in Civil Engineering 2019, Atlanta, Georgia, American Society of Civil Engineers.10.1061/9780784482421.030 ↗
28. Development and implementation of advanced manufacturing technologies in construction: Computer-integrated construction beyond BIM
29. Intelligent rebar layout in RC building frames using artificial potential field10.1016/j.autcon.2020.103172 ↗
30. A review of studies on prefabrication in construction project management
31. Tran, T.B., Dinh, T.P., Nguyen, T.D.H.N., Ly, D.H., Kim, B., and Ahn, Y. (2025). An Integrated BIM-Based Application for Automating the Conceptual Design for Vietnamese Vernacular Architecture: Using Revit and Dynamo. Appl. Sci., 15.10.3390/app15126776 ↗
32. Nguyen, T.D.H.N., Ahn, Y., and Kim, B. (2025). Integrated Digital-Twin-Based Decision Support System for Relocatable Module Allocation Plan: Case Study of Relocatable Modular School System. Appl. Sci., 15.10.3390/app15042211 ↗
33. Developing a framework to revolutionise the 4D BIM process: IPD-based solution10.1108/CI-11-2019-0127 ↗