Article(id=1314907798715073026, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907656704324517, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.01.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1754928000000, receivedDateStr=2025-08-12, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428049018, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428049018, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428049018, creator=13701087609, updateTime=1791428049018, updator=13701087609, issue=Issue{id=1314907656704324517, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='1', pageStart='1', pageEnd='206', issueExtLink='null', onlineDate='null', pubDate='1769875200000', pubDateStr='2026-02-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791428015160, creator='13701087609', updateTime=1791430491940, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314918045139690301, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907656704324517, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314918045139690302, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907656704324517, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=37, endPage=43, ext={EN=ArticleExt(id=1314907800879333891, articleId=1314907798715073026, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Precision Blasting Technology Based on Classification of Rock Mass Blastability, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

Precision blasting technology was studied based on classification of rock mass blastability aiming at slow drift advance by blasting in stope and high unit consumption of explosive in Xincheng Gold Mine. By analyzing indices such as uniaxial compressive strength, rock mass integrity coefficient and rock density, a blastability classification model with multi-parameters was established, and the rock mass blastability was divided into 5 levels based on the proposed modified BQ index formula. It is found the ore rocks in Xincheng Gold Mine are mainly rated as level Ⅲ (intermediate) and level Ⅳ (difficulty) in terms of ore blastability, for which blasting parameters were then optimized respectively. Industrial experiments show that after optimization, the blasthole utilization rate for stope drifts was increased from 87.3% to 93.9%, and overbreak was reduced, including the over-width down from 17.5% to 1.25% and the over-height down from 25.0% to 3.3%. It is shown that smooth blasting and precise control of surrounding rock disturbance can be actualized.

, authors=Bin LIU1, Zhaowen ZHU1, Lianwei FENG1, Xin LU1, Pengyu CHEN1, Ruimin XUE1, Ji REN2, Kang PENG2, authorsList=Bin LIU, Zhaowen ZHU, Lianwei FENG, Xin LU, Pengyu CHEN, Ruimin XUE, Ji REN, Kang PENG, authorCompany=null, correspAuthors=Ji REN, 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=1314907802099876356, articleId=1314907798715073026, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=基于岩体可爆性分级的精细化爆破技术研究, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

针对新城金矿采场爆破进尺不足、炸药单耗过高等问题,开展基于岩体可爆性分级的精细化爆破技术研究。通过分析岩石单轴抗压强度、岩体完整性系数及岩石密度等指标,构建多参数融合的可爆性分级模型,提出修正的BQ指数公式,将岩体可爆性划分为5级。结果表明,新城金矿矿岩以Ⅲ级(中等可爆)和Ⅳ级(难爆)为主。基于分级结果,对中等可爆与难爆岩体分别进行爆破参数优化。工业试验表明,优化后采场进路炮孔利用率从87.3%提升至93.9%,超宽由17.5%降至1.25%,超高由25.0%降至3.3%,实现了光面爆破与围岩扰动精准控制。

, authors=刘滨1, 朱兆文1, 冯连伟1, 鲁鑫1, 陈鹏宇1, 薛瑞敏1, 任基2, 彭康2, authorsList=刘滨, 朱兆文, 冯连伟, 鲁鑫, 陈鹏宇, 薛瑞敏, 任基, 彭康, authorCompany=null, correspAuthors=任基, authorNote=

刘滨(1979—),男,山东莱州人,高级工程师,从事金属矿山采矿技术研究及工程管理工作。E-mail:

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任基(2001—),男,甘肃天水人,博士研究生,主要从事金属矿床地下开采理论与技术研究。E-mail:
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刘滨(1979—),男,山东莱州人,高级工程师,从事金属矿山采矿技术研究及工程管理工作。E-mail:

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刘滨(1979—),男,山东莱州人,高级工程师,从事金属矿山采矿技术研究及工程管理工作。E-mail:

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基于岩体可爆性分级的精细化爆破技术研究
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刘滨 1 , 朱兆文 1 , 冯连伟 1 , 鲁鑫 1 , 陈鹏宇 1 , 薛瑞敏 1 , 任基 2 , 彭康 2
矿冶工程杂志 | 采矿 2026,46(1): 37-43
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矿冶工程杂志 |采矿 2026 , 46 (1) : 37 -43
基于岩体可爆性分级的精细化爆破技术研究
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刘滨(1979—),男,山东莱州人,高级工程师,从事金属矿山采矿技术研究及工程管理工作。E-mail:

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刘滨1 , 朱兆文1, 冯连伟1, 鲁鑫1, 陈鹏宇1, 薛瑞敏1, 任基2 , 彭康2
作者信息
  • 1.山东黄金矿业股份有限公司新城金矿,山东 莱州 261400
  • 2.中南大学资源与安全工程学院,湖南 长沙 410083
通讯作者:
任基(2001—),男,甘肃天水人,博士研究生,主要从事金属矿床地下开采理论与技术研究。E-mail:
作者简介:

刘滨(1979—),男,山东莱州人,高级工程师,从事金属矿山采矿技术研究及工程管理工作。E-mail:

Precision Blasting Technology Based on Classification of Rock Mass Blastability
Bin LIU1 , Zhaowen ZHU1, Lianwei FENG1, Xin LU1, Pengyu CHEN1, Ruimin XUE1, Ji REN2 , Kang PENG2
Affiliations
  • 1.Xincheng Gold Mine, Shandong Gold Mining Co., Ltd., Laizhou 261400, Shandong, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
doi: 10.3969/j.issn.0253-6099.2026.01.006
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针对新城金矿采场爆破进尺不足、炸药单耗过高等问题,开展基于岩体可爆性分级的精细化爆破技术研究。通过分析岩石单轴抗压强度、岩体完整性系数及岩石密度等指标,构建多参数融合的可爆性分级模型,提出修正的BQ指数公式,将岩体可爆性划分为5级。结果表明,新城金矿矿岩以Ⅲ级(中等可爆)和Ⅳ级(难爆)为主。基于分级结果,对中等可爆与难爆岩体分别进行爆破参数优化。工业试验表明,优化后采场进路炮孔利用率从87.3%提升至93.9%,超宽由17.5%降至1.25%,超高由25.0%降至3.3%,实现了光面爆破与围岩扰动精准控制。

岩体可爆性  /  可爆性分级  /  精细化爆破  /  相关性  /  爆破参数  /  超挖  /  欠挖  /  BQ指数  /  炮孔利用率

Precision blasting technology was studied based on classification of rock mass blastability aiming at slow drift advance by blasting in stope and high unit consumption of explosive in Xincheng Gold Mine. By analyzing indices such as uniaxial compressive strength, rock mass integrity coefficient and rock density, a blastability classification model with multi-parameters was established, and the rock mass blastability was divided into 5 levels based on the proposed modified BQ index formula. It is found the ore rocks in Xincheng Gold Mine are mainly rated as level Ⅲ (intermediate) and level Ⅳ (difficulty) in terms of ore blastability, for which blasting parameters were then optimized respectively. Industrial experiments show that after optimization, the blasthole utilization rate for stope drifts was increased from 87.3% to 93.9%, and overbreak was reduced, including the over-width down from 17.5% to 1.25% and the over-height down from 25.0% to 3.3%. It is shown that smooth blasting and precise control of surrounding rock disturbance can be actualized.

rock mass blastability  /  blastability classification  /  precision blasting  /  correlation  /  blasting parameters  /  overbreak  /  underbreak  /  BQ index  /  blasthole utilization rate
刘滨, 朱兆文, 冯连伟, 鲁鑫, 陈鹏宇, 薛瑞敏, 任基, 彭康. 基于岩体可爆性分级的精细化爆破技术研究. 矿冶工程杂志, 2026 , 46 (1) : 37 -43 . DOI: 10.3969/j.issn.0253-6099.2026.01.006
Bin LIU, Zhaowen ZHU, Lianwei FENG, Xin LU, Pengyu CHEN, Ruimin XUE, Ji REN, Kang PENG. Precision Blasting Technology Based on Classification of Rock Mass Blastability[J]. Mining and Metallurgical Engineering, 2026 , 46 (1) : 37 -43 . DOI: 10.3969/j.issn.0253-6099.2026.01.006
  • 国家重点研发计划(2023YFC2907400)
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2026年第46卷第1期
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doi: 10.3969/j.issn.0253-6099.2026.01.006
  • 接收时间:2025-08-12
  • 首发时间:2026-10-08
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  • 收稿日期:2025-08-12
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国家重点研发计划(2023YFC2907400)
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    1.山东黄金矿业股份有限公司新城金矿,山东 莱州 261400
    2.中南大学资源与安全工程学院,湖南 长沙 410083

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任基(2001—),男,甘肃天水人,博士研究生,主要从事金属矿床地下开采理论与技术研究。E-mail:
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2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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