Development of Building Information Modeling for Steel Bar Planning

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Narongrit Wongwai
Nuttapon Gunto
Suphawut Malaikrisanachalee
Wittaya Srisomboon


The problem of procuring steel bars in construction projects lies in accurately estimating the quantity of steel bars needed for the project. The quantity estimation varies based on the structural details of the project. To ensure that the ordered steel bars are sufficient for the project requirements, it is necessary to plan the steel cutting process by preparing a cutting list. Currently, the method used to create the rebar-cutting list involves extracting quantities from two-dimensional drawings and relying on the experience of the job controller to prepare the list. This research aims to develop a workflow by using a specific model of the concrete structure components to generate the cutting list automatically. The data of each component of the reinforced concrete structure will be exported to analyze the required quantity of steel bars, referencing the design data of the reinforced concrete structure, steel reinforcement standards, and cover thickness. A model will then be created specifically for the reinforced concrete work, eliminating the need to modify the model based on the detailed jointing information from the cutting list. In the cast study is needed to be edited the structural column model which is overlapping steel 41.60 percent of all structural column steel . Additionally, the research proposes a heuristic approach for the cutting list, which is a humanistic method that analyzes each cutting individually, enabling the analysis of jointing in every cut. This approach the bar cut list report in this study case differs from the current popular method that disregards the jointing of steel bars, resulting in a 30% reduction in steel scrap compared to the pattern-based cutting method commonly used.    

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How to Cite
Wongwai, N. ., Gunto, N., Malaikrisanachalee, S. ., & Srisomboon, W. . (2023). Development of Building Information Modeling for Steel Bar Planning. Journal of Advanced Development in Engineering and Science, 13(37), 109–128. Retrieved from
Research Article


Pruksunthorn, T. & Taemthong, W. (2020). Material Contingency Waste in Office Construction Projects. In The 25th National Convention on Civil Engineering (p. CEM19-1-CEM19-4). 15 – 17 July, 2020, Chonburi, Thailand. (in Thai)

Niranwattanadacha, V. (2010). Development of Steel Bar Cutting Pattern to Reduce Loss at Construction Site, (Master thesis, Suranaree University of Technology). (in Thai)


download. aspx? Content=5930. Accessed date: 23 August 2023.

Chinanuwatwong, S. (2000). Reducing Waste from Cutting Reinforcing Steel in Construction Projects. Agriculture and Natural Resources, 34(4), 526-535.

Department of Internl Trade Thailand. (2022). Recommended Price for Rebar. Available from

Accessed date: 23 August 2023. (in Thai)

Intarapanich, T. (2023). BIM Adoption in Pre-construction of Residential Condominium in Thailand. Sarasatr, 1, 13-27. (in Thai)

Jatupatwarangkul, S. (2018). The Case Study of Using Building Information Modeling (BIM) for Forecasting Construction Cost in Architectural Segments. Arch Journal, 27(2), 179-192. (in Thai)

Nusen, S., et al. (2022). THE APPLICATIONOF BUILDING INFORMATION MODELING IN STRUCTURAL ANALYSIS OF BUILDINGS IN EACH REGION OF THAILAND In The 27th National Convention on Civil Engineering (p. BIM04-1-BIM04-6). 24 – 26 August, 2022, Chiang Rai, Thailand. (in Thai)

Laofor, C. & Seemawute, P. (2022). Simulation of building construction planning by using Building Information Modeling In The 27th National Convention on Civil Engineering (p. BIM02-1-BIM02-10). 24 – 26 August, 2022, Chiang Rai, Thailand. (in Thai)

Gonthong, R., et al. (2020). Application of building information modeling to rebar managementfor developed housing project. In The 25th National Convention on Civil Engineering (p. CEM02-1-CEM02-8). 15 July – 17 July, 2020, Chonburi, Thailand. (in Thai)

Pawan, P., & Sanyano, P. (2021). APPLICATION OF BUILDING INFORMATION MODELING PROCESS TO DEVELOP REBAR CUTTING LIST. In The 26th National Convention on Civil Engineering (p. CEM-20-1-CEM-20-10). 23 – 25 June, 2021, Online Conference. (in Thai)

Dyckhoff, H. (1990). A Typology of Cutting and Packing Problems. European Journal of Operation Research, 44(12), 145-159.

Gradisar, M., et al (1999). A Sequenntial Heuristic Procedure for One Dimensional Cutting. European Journal of Operation Research, 114(13), 557-568.

Pratoom, W. & Tangwiboonpanich, S. (2016). A Comparison Of Rebar Quantities Obtained By Traditional VS BIM-Based Methods. Suranaree Journal of Science and Technolog., 23(1), 5-10.

Coffman, J., et al (1984). Approximation Algorithms for Bin-Packing: An Updated Survey. Algorithm Design for Computer System Design, 284, 49-106.

Cui, Y. & Yang, Y. (2010). A heuristic for the one dimensional cutting stock problem with usable leftover. European Journal of Operational Research, 204(12), 245-250.

Goncalo, C. R., et al (2021). Modified Greedy Heuristic for the one-dimensional cutting stock problem. Journal of Combinatorial Optimization, 41(12), 657–674.

Vahrenkamp, R. (1996). Random Search in the One-Dimensional Cutting Stock Problem. European Journal of Operation Research, 95(11), 191-200.

Benjaoran, V. (2013). Trim Loss Minimization for Construction Reinforcement Steel with Oversupply Constrints. Journal of Advanced Management Science, 1(13), 313–316.

Benjaoran, V. & Bhokha, V. (2014). Three-Step Solution for Cutting Stock Problem of Construction Steel Bar. KSCE Journal of Civil Engineering, 18(115), 1239–1247.

The Association of Siamese Architects under Royal Patronage. (2013). Thailand BIM Guideline. Bangkok: Plus press Company Limited.

The Dynamo Primer for Dynamo v2. (2023). User Manual. Available from https:// primer. Accessed date: 23 August 2023.

Somboon, S. & Benjaoran, V. (2015). Survey of the Rebar Cutting-Pattern Algorithm of Engineers and Steel Workers. UBU Engineering Journal, 8(1), 51–59. (in Thai)