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Parameter Selection Model Based on Random Forest Algorithm for Smooth Blasting in Tunnel (Roadway) Excavation
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Shengxin HOU1, Jingjing MA1, Hongjing TANG1, Yingfang LI1, Jun TIAN1, Lin LI1, Qiyue LI2
Mining and Metallurgical Engineering | 2024, 44(3) : 34 - 37
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Mining and Metallurgical Engineering | 2024, 44(3): 34-37
• MINING •
Parameter Selection Model Based on Random Forest Algorithm for Smooth Blasting in Tunnel (Roadway) Excavation
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Shengxin HOU1, Jingjing MA1, Hongjing TANG1, Yingfang LI1, Jun TIAN1, Lin LI1, Qiyue LI2
Affiliations
  • 1.Tibet Zhongjinxinlian Blasting Engineer Co Ltd, Lhasa 851500, Xizang, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
Published: 2024-06-01 doi: 10.3969/j.issn.0253-6099.2024.03.007
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In order to solve the problem of parameter selection for smooth blasting in tunnel/roadway excavation, a parameter selection model based on random forest algorithm was constructed. The input parameters in the model include quality classification BQ of surrounding rock, tunnel (roadway) section area and borehole diameter, and the output parameters include minimum burden, borehole spacing and borehole depth. Then, 24 training samples and 7 test samples were used for training and testing of model, and the results show that the relative errors between the output parameters of borehole spacing, minimum burden, borehole depth and the corresponding parameters of test samples are 17%, 8.8% and 22% respectively on average, indicating that the model is good in selecting minimum burden, but less effective in selecting blasthole spacing and blasthole depth.

random forest algorithm  /  smooth blasting  /  prediction of blasting parameters  /  tunnel excavation  /  roadway excavation
Shengxin HOU, Jingjing MA, Hongjing TANG, Yingfang LI, Jun TIAN, Lin LI, Qiyue LI. Parameter Selection Model Based on Random Forest Algorithm for Smooth Blasting in Tunnel (Roadway) Excavation[J]. Mining and Metallurgical Engineering, 2024 , 44 (3) : 34 -37 . DOI: 10.3969/j.issn.0253-6099.2024.03.007
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Year 2024 volume 44 Issue 3
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Article Info
doi: 10.3969/j.issn.0253-6099.2024.03.007
  • Receive Date：2023-12-07
  • Online Date：2026-03-17
  • Published：2024-06-01
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History
  • Received：2023-12-07
Funding
Affiliations
    1.Tibet Zhongjinxinlian Blasting Engineer Co Ltd, Lhasa 851500, Xizang, China
    2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
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https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2024.03.007
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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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