Integrated BIM-GA approach for slab formwork design optimization

Purpose Formwork design and construction for reinforced concrete buildings take significant time, effort and money. Construction procedures are time-consuming for designers and costly for the contractor. Poor engineering decisions have led to several workplace accidents in the construction industry. This paper aims to present an integrated building information modeling – genetic algorithm (BIM-GA) model to automate formwork design, 3D visualization and optimization. Design/methodology/approach Data are precisely extracted from a 3D structural model and used to optimize formwork design based on available formwork components and prices. Optimization models are made using GA approach. A library of 3D formwork components was modeled and stored using Revit. The optimized design solution thereafter would be visualized automatically in Revit to readily acquire formwork quantities schedules and shop drawings. Findings A case study illustrating the proposed approach demonstrated that using BIM will reduce formwork design, quantification and drawing time by more than 50% of the traditional approach with safer design and accurate results due to process automation and optimize cost for the given data. Originality/value This research introduces an innovative integrated BIM and GA model for the optimization and automation of slab formwork design, which has significantly benefited the construction industry. The utilization of GA in the optimization process allows for the attainment of an optimal formwork design, ultimately leading to a reduction in construction cost and time.

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Publication Details

Journal
Construction Innovation
Published
2024-08-12
DOI
https://doi.org/10.1108/ci-12-2023-0317
Citations
3
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.80
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article

Integrated BIM-GA approach for slab formwork design optimization

Mohamed Naguib Abouelsaad, Emad Elbeltagi, Mohamed E. El Madawy, Alaa Allam
3 citations
Construction Innovation
BIM and Construction Integration
0.80
article

Integrated BIM-GA approach for slab formwork design optimization

Mohamed Naguib Abouelsaad, Emad Elbeltagi, Mohamed E. El Madawy, Alaa Allam
article en
3 citations

Abstract

Purpose Formwork design and construction for reinforced concrete buildings take significant time, effort and money. Construction procedures are time-consuming for designers and costly for the contractor. Poor engineering decisions have led to several workplace accidents in the construction industry. This paper aims to present an integrated building information modeling – genetic algorithm (BIM-GA) model to automate formwork design, 3D visualization and optimization. Design/methodology/approach Data are precisely extracted from a 3D structural model and used to optimize formwork design based on available formwork components and prices. Optimization models are made using GA approach. A library of 3D formwork components was modeled and stored using Revit. The optimized design solution thereafter would be visualized automatically in Revit to readily acquire formwork quantities schedules and shop drawings. Findings A case study illustrating the proposed approach demonstrated that using BIM will reduce formwork design, quantification and drawing time by more than 50% of the traditional approach with safer design and accurate results due to process automation and optimize cost for the given data. Originality/value This research introduces an innovative integrated BIM and GA model for the optimization and automation of slab formwork design, which has significantly benefited the construction industry. The utilization of GA in the optimization process allows for the attainment of an optimal formwork design, ultimately leading to a reduction in construction cost and time.

Construction InnovationVol. 26(2)
Mansoura University (EG)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
BIM and Construction Integration
0.80
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Integrated BIM-GA approach for slab formwork design optimization — Mohamed Naguib Abouelsaad, Emad Elbeltagi, et al. · Construction Innovation (2024) | TGRS Research Map | TGRS