Article(id=1321893291818340690, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1745769600000, receivedDateStr=2025-04-28, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093520359, onlineDateStr=2026-10-27, pubDate=1781712000000, pubDateStr=2026-06-18, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093520359, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093520359, creator=13701087609, updateTime=1793093520359, updator=13701087609, issue=Issue{id=1321893272490987695, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='6', pageStart='1', pageEnd='312', issueExtLink='null', onlineDate='null', pubDate='1781712000000', pubDateStr='2026-06-18', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093515751, creator='13701087609', updateTime=1793094575775, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897718625194101, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897718625194102, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=62, endPage=70, ext={EN=ArticleExt(id=1321893291994501459, articleId=1321893291818340690, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Study on Ore-Rock Separation Controlled Blasting Technology and Fragmentation Prediction for the Las Bambas Open-Pit Mine, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

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.

, authors=Mingdong Tang1, 2, Zhouyun Fu1, 2, Xuesong Chen3, Qinlin Ren1, 2, Yulin Ning3, Yuzhe Sun3, authorsList=Mingdong Tang, Zhouyun Fu, Xuesong Chen, Qinlin Ren, Yulin Ning, Yuzhe Sun, authorCompany=null, correspAuthors=Zhouyun Fu, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321893292212605268, articleId=1321893291818340690, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=Las Bambas露天矿矿岩分离控制爆破技术与块度预测研究, columnId=1226462294490657775, journalTitle=矿业研究与开发, columnName=采矿与矿山充填, runingTitle=null, highlight=null, articleAbstract=

Las Bambas铜矿矿岩交错分布,各区硬度不一,岩性丰富,单一爆破参数难以适用复杂的地质条件。为在矿山爆破过程中控制矿石块度适中和降低废石混入,开展了露天台阶爆破矿岩分离控制爆破技术及块度预测研究。基于岩体指数(RMI)对岩体可爆性进行分级,提出采用原位堆滞爆破和抛掷爆破来分区爆破岩石和矿石,从而达到破碎矿、岩分区堆积。设计了差异化孔网参数多点起爆与密集空孔爆破方案。基于XGBoost模型对Ferrobamba矿区爆破数据进行训练,预测25组样本数据矿石爆破块度,并进行了现场试验。结果表明:采用差异化孔网参数多点起爆方案,在孔深为16.5 m、岩石区孔网参数为9.0 m×8.0 m、矿石区孔网参数为6.5 m×5.5 m的条件下,爆破后形成明显矿、岩分界沟,矿、岩分别成堆。块度分布特征参数D80为127 mm,模型预测的D80为124 mm,误差仅约2.36%,其中块度25.6 mm的占比为36.7%,可满足选矿厂要求。

, authors=唐鸣东1, 2, 符洲云1, 2, 陈学松3, 任清霖1, 2, 甯瑜琳3, 孙裕喆3, authorsList=唐鸣东, 符洲云, 陈学松, 任清霖, 甯瑜琳, 孙裕喆, authorCompany=null, correspAuthors=符洲云, authorNote=

唐鸣东(1992—),男,湖南邵阳人,硕士,工程师,主要从事采矿技术工程、爆破工程技术研究工作。E-mail:

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符洲云(1997—),男,湖南龙山人,硕士,工程师,主要从事矿山采矿技术、爆破工程技术等方面的研究工作。E-mail:
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唐鸣东(1992—),男,湖南邵阳人,硕士,工程师,主要从事采矿技术工程、爆破工程技术研究工作。E-mail:

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Las Bambas露天矿矿岩分离控制爆破技术与块度预测研究
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唐鸣东 1, 2 , 符洲云 1, 2 , 陈学松 3 , 任清霖 1, 2 , 甯瑜琳 3 , 孙裕喆 3
矿业研究与开发 | 采矿与矿山充填 2026,46(6): 62-70
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矿业研究与开发 |采矿与矿山充填 2026 , 46 (6) : 62 -70
Las Bambas露天矿矿岩分离控制爆破技术与块度预测研究
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唐鸣东(1992—),男,湖南邵阳人,硕士,工程师,主要从事采矿技术工程、爆破工程技术研究工作。E-mail:

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唐鸣东(1992—),男,湖南邵阳人,硕士,工程师,主要从事采矿技术工程、爆破工程技术研究工作。E-mail:

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唐鸣东1, 2 , 符洲云1, 2 , 陈学松3, 任清霖1, 2, 甯瑜琳3, 孙裕喆3
作者信息
  • 1.长沙矿山研究院有限责任公司,湖南 长沙 410012
  • 2.国家金属采矿工程技术研究中心,湖南 长沙 410012
  • 3.五矿有色金属股份有限公司,北京 100044
通讯作者:
符洲云(1997—),男,湖南龙山人,硕士,工程师,主要从事矿山采矿技术、爆破工程技术等方面的研究工作。E-mail:
作者简介:

唐鸣东(1992—),男,湖南邵阳人,硕士,工程师,主要从事采矿技术工程、爆破工程技术研究工作。E-mail:

Study on Ore-Rock Separation Controlled Blasting Technology and Fragmentation Prediction for the Las Bambas Open-Pit Mine
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
出版时间: 2026-06-18
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Las Bambas铜矿矿岩交错分布,各区硬度不一,岩性丰富,单一爆破参数难以适用复杂的地质条件。为在矿山爆破过程中控制矿石块度适中和降低废石混入,开展了露天台阶爆破矿岩分离控制爆破技术及块度预测研究。基于岩体指数(RMI)对岩体可爆性进行分级,提出采用原位堆滞爆破和抛掷爆破来分区爆破岩石和矿石,从而达到破碎矿、岩分区堆积。设计了差异化孔网参数多点起爆与密集空孔爆破方案。基于XGBoost模型对Ferrobamba矿区爆破数据进行训练,预测25组样本数据矿石爆破块度,并进行了现场试验。结果表明:采用差异化孔网参数多点起爆方案,在孔深为16.5 m、岩石区孔网参数为9.0 m×8.0 m、矿石区孔网参数为6.5 m×5.5 m的条件下,爆破后形成明显矿、岩分界沟,矿、岩分别成堆。块度分布特征参数D80为127 mm,模型预测的D80为124 mm,误差仅约2.36%,其中块度25.6 mm的占比为36.7%,可满足选矿厂要求。

露天台阶爆破  /  爆破参数  /  岩体指数  /  XGBoost模型  /  块度预测

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 .
  • 中国五矿科技专项计划项目(2022ZXB04)
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2026年第46卷第6期
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  • 接收时间:2025-04-28
  • 首发时间:2026-10-27
  • 出版时间:2026-06-18
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  • 收稿日期:2025-04-28
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中国五矿科技专项计划项目(2022ZXB04)
作者信息
    1.长沙矿山研究院有限责任公司,湖南 长沙 410012
    2.国家金属采矿工程技术研究中心,湖南 长沙 410012
    3.五矿有色金属股份有限公司,北京 100044

通讯作者:

符洲云(1997—),男,湖南龙山人,硕士,工程师,主要从事矿山采矿技术、爆破工程技术等方面的研究工作。E-mail:
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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
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