Open Access
ARTICLE
An Intelligent Optimization Method of Reinforcing Bar Cutting for Construction Site
Zhaoxi Ma1, Qin Zhao1,*, Tianyou Cang1, Zongjian Li2, Yiyun Zhu1, Xinhong Hei3
1
Department of Civil Engineering and Architecture, Xi’an University of Technology, Xi’an, 710048, China
2
State Key Laboratory of Rail Transit Engineering Informatization (FSDI), Xi’an, 710043, China
3
Department of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China
* Corresponding Author: Qin Zhao. Email:
(This article belongs to this Special Issue: Numerical Methods in Engineering Analysis, Data Analysis and Artificial Intelligence)
Computer Modeling in Engineering & Sciences 2023, 134(1), 637-655. https://doi.org/10.32604/cmes.2022.021216
Received 02 January 2022; Accepted 06 February 2022; Issue published 24 August 2022
Abstract
To meet the requirements of specifications, intelligent optimization of steel bar blanking can improve resource
utilization and promote the intelligent development of sustainable construction. As one of the most important
building materials in construction engineering, reinforcing bars (rebar) account for more than 30% of the cost
in civil engineering. A significant amount of cutting waste is generated during the construction phase. Excessive
cutting waste increases construction costs and generates a considerable amount of COCO
2 emission. This study aimed
to develop an optimization algorithm for steel bar blanking that can be used in the intelligent optimization of steel
bar engineering to realize sustainable construction. In the proposed algorithm, the integer linear programming
algorithm was applied to solve the problem. It was combined with the statistical method, a greedy strategy was
introduced, and a method for determining the dynamic critical threshold was developed to ensure the accuracy
of large-scale data calculation. The proposed algorithm was verified through a case study; the results confirmed
that the rebar loss rate of the proposed method was reduced by 9.124% compared with that of traditional
distributed processing of steel bars, reducing CO
2 emissions and saving construction costs. As the scale of a project
increases, the calculation quality of the optimization algorithm for steel bar blanking proposed also increases, while
maintaining high calculation efficiency. When the results of this study are applied in practice, they can be used as
a sustainable foundation for building informatization and intelligent development.
Keywords
Cite This Article
Ma, Z., Zhao, Q., Cang, T., Li, Z., Zhu, Y. et al. (2023). An Intelligent Optimization Method of Reinforcing Bar Cutting for Construction Site.
CMES-Computer Modeling in Engineering & Sciences, 134(1), 637–655.