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Study on Ore-Rock Separation Controlled Blasting Technology and Fragmentation Prediction for the Las Bambas Open-Pit Mine
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Mingdong Tang1, 2, Zhouyun Fu1, 2, Xuesong Chen3, Qinlin Ren1, 2, Yulin Ning3, Yuzhe Sun3
Mining Research and Development | 2026, 46(6) : 62 - 70
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Mining Research and Development | 2026, 46(6): 62-70
Study on Ore-Rock Separation Controlled Blasting Technology and Fragmentation Prediction for the Las Bambas Open-Pit Mine
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Mingdong Tang1, 2, Zhouyun Fu1, 2, Xuesong Chen3, Qinlin Ren1, 2, Yulin Ning3, Yuzhe Sun3
Affiliations
  • 1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
  • 2.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
  • 3.China Minmetals Nonferrous Metals Co., Ltd., Beijing 100044, China
Published: 2026-06-18
Outline
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Ore and rock are distributed alternately in Las Bambas Copper Mine, with varying hardness and diverse lithology across zones. Single blasting parameters are hardly applicable to the complex geological conditions. To achieve proper ore fragmentation and reduce waste rock dilution during blasting, research was conducted on ore-rock separation controlled blasting technology and fragmentation prediction for open-pit bench blasting. Rock mass blastability was classified based on the Rock Mass Index (RMI). In-situ retention blasting and cast blasting were proposed to distinguish between ore and rock, thereby achieving zoned accumulation of broken materials. Schemes of multi-point initiation with differentiated borehole pattern parameters and dense empty hole blasting were designed. Blasting data of Ferrobamba mining area were used for training based on XGBoost model, and ore blasting fragmentation of 25 sample groups was predicted and verified through field tests. The results show that with the multi-point initiation scheme using differentiated borehole pattern parameters, a hole depth of 16.5 m, borehole pattern parameters of 9.0 m×8.0 m for rock area and 6.5 m×5.5 m for ore area, distinct ore-rock boundary grooves are formed after blasting, and ore and rock accumulate separately. The characteristic parameter D80 of blasting fragmentation distribution is 127 mm, while the predicted D80 value is 124 mm with an error of only about 2.36%. The proportion of fragments sized smaller than 25.6 mm reaches 36.7%, which satisfies the requirements of the concentrator.

Open-pit bench blasting  /  Blasting parameter  /  Rock Mass Index  /  XGBoost model  /  Fragmentation prediction
唐鸣东, 符洲云, 陈学松, 任清霖, 甯瑜琳, 孙裕喆. Las Bambas露天矿矿岩分离控制爆破技术与块度预测研究. 矿业研究与开发, 2026 , 46 (6) : 62 -70 .
Mingdong Tang, Zhouyun Fu, Xuesong Chen, Qinlin Ren, Yulin Ning, Yuzhe Sun. Study on Ore-Rock Separation Controlled Blasting Technology and Fragmentation Prediction for the Las Bambas Open-Pit Mine[J]. Mining Research and Development, 2026 , 46 (6) : 62 -70 .
Year 2026 volume 46 Issue 6
31
12
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Article Info
  • Receive Date:2025-04-28
  • Online Date:2026-10-27
  • Published:2026-06-18
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  • Received:2025-04-28
Funding
Affiliations
    1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
    2.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
    3.China Minmetals Nonferrous Metals Co., Ltd., Beijing 100044, 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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