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Optimization of Blasting Parameters Based on Improved Sparrow Search Algorithm
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Yiran YAN1, Zhenyang XU1, Xin LIU1, Xuesong WANG2, Yuting ZHANG1
Mining and Metallurgical Engineering | 2023, 43(6) : 11 - 14
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Mining and Metallurgical Engineering | 2023, 43(6): 11-14
• MINING •
Optimization of Blasting Parameters Based on Improved Sparrow Search Algorithm
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Yiran YAN1, Zhenyang XU1, Xin LIU1, Xuesong WANG2, Yuting ZHANG1
Affiliations
  • 1.College of Mining Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China
  • 2.School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang 110870, Liaoning, China
Published: 2023-12-01 doi: 10.3969/j.issn.0253-6099.2023.06.003
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In order to improve accuracy in selection of blasting parameters for open-pit mines, a mathematical model was established for determining bench blasting parameters in open-pit mines based on production cost of stope, and the blasting parameters were then optimized by using an improved sparrow search algorithm. The results show that the improved sparrow search algorithm can effectively improve the effect of bench blasting in open-pit mine, but also improves the construction efficiency. With Yulong Mining Industry Company in Xizang as an example, the blasting parameters after optimization are as follows: hole spacing of 6.2 m, row spacing of 4.9 m, and unit explosive consumption of 0.32 kg/t. With these blasting parameters, the stope production cost goes down by 7.5% to 11.06 yuan/t, and the bulk rate can be controlled within 10%.

production cost  /  cost control  /  bench blasting  /  open pit  /  blasting parameters  /  mathematical model  /  sparrow search algorithm
Yiran YAN, Zhenyang XU, Xin LIU, Xuesong WANG, Yuting ZHANG. Optimization of Blasting Parameters Based on Improved Sparrow Search Algorithm[J]. Mining and Metallurgical Engineering, 2023 , 43 (6) : 11 -14 . DOI: 10.3969/j.issn.0253-6099.2023.06.003
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Article Info
doi: 10.3969/j.issn.0253-6099.2023.06.003
  • Receive Date：2023-07-16
  • Online Date：2026-03-05
  • Published：2023-12-01
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  • Received：2023-07-16
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Affiliations
    1.College of Mining Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China
    2.School of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang 110870, Liaoning, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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