Zhaoxi Ma1, Qin Zhao1,*, Tianyou Cang1, Zongjian Li2, Yiyun Zhu1, Xinhong Hei3
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 637-655, 2023, DOI:10.32604/cmes.2022.021216
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 COCO2 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… More >
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