An Intelligent Optimization Method of Reinforcing Bar Cutting for Construction Site  

作　　者：Zhaoxi Ma Qin Zhao Tianyou Cang Zongjian Li Yiyun Zhu Xinhong Hei 

机构地区：[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

出　　处：《Computer Modeling in Engineering & Sciences》2023年第1期637-655,共19页工程与科学中的计算机建模（英文）

基　　金：funded by Nature Science Foundation of China(51878556);the Key Scientific Research Projects of Shaanxi Provincial Department of Education(20JY049);Key Research and Development Program of Shaanxi Province(2019TD-014);State Key Laboratory of Rail Transit Engineering Informatization(FSDI)(SKLKZ21-03).

摘　　要：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 CO_(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 algorithmfor 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.

关 键 词：Building construction rebar work cutting stock problem optimization algorithm integer linear programming 

分 类 号：TG142[一般工业技术—材料科学与工程]