Article(id=1314908074985480348, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.04.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1771084800000, receivedDateStr=2026-02-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428114886, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428114886, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428114886, creator=13701087609, updateTime=1791428114886, updator=13701087609, issue=Issue{id=1314908074188562588, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='4', pageStart='1', pageEnd='266', issueExtLink='null', onlineDate='null', pubDate='1785513600000', pubDateStr='2026-08-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791428114697, creator='13701087609', updateTime=1791430419337, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917740654191268, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917740654191269, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=8, endPage=15, ext={EN=ArticleExt(id=1314908075216167069, articleId=1314908074985480348, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Probability-Statistics-Based Safety Control of Blast Vibration for Shallow-Buried Underground Soft-Rock Engineering, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=
As for underground engineering projects in shallow-buried soft rock, extensive blast vibration monitoring was carried out along the axial direction on the tunnel ground surface. Based on the monitoring data, probability distribution analysis confirmed that the peak particle velocity (PPV) followed the lognormal distribution. Considering the randomness of PPV, the lognormal distribution theory and confidenc-level analysis method were introduced. A blast vibration safety prediction and control model was established by combining the PPV attenuation model with the probability distribution function, and then applied to the sensitive sections of the project. The results show that in a blasting scheme with the maximum charge per delay at 43.2 kg, the horizontal distance between sensitive point 2# and the blast source should be greater than 35.044 m to satisfy the safety criterion of a 95% confidence; while in a scheme with the maximum charge per delay at 18.6 kg, that horizontal distance shall exceed 25.660 m to meet the 95% confidence. On the basis of this model, differentiated blasting control schemes are formulated for sensitive tunnel sections. This proposed method provides theoretical support for blasting operation for similar underground softrock projects.
, authors=Chaopeng LI
1, Haixian HUANG
2, Haiqian LI
2, Xiaoliang LI
1, Qipeng YE
1, Haiyong LU
1, Qiyue LI
2, authorsList=Chaopeng LI, Haixian HUANG, Haiqian LI, Xiaoliang LI, Qipeng YE, Haiyong LU, Qiyue LI, authorCompany=null, correspAuthors=null, 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=1314908075568488606, articleId=1314908074985480348, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=基于概率统计的浅埋软岩地下工程爆破振动安全控制研究, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=
以某浅埋软岩地下工程为背景,进行了大量隧道地表轴向爆破振动监测。基于监测数据,通过概率分布研究确定了质点峰值振动速度(PPV)符合对数正态分布特性。针对PPV的随机性特征,引入对数正态分布理论和置信度水平分析方法,将PPV衰减模型与概率分布函数相结合,构建了爆破振动安全预测及控制模型,并应用于工程敏感地段。结果表明,当爆破方案的最大单段药量为43.2 kg时,2#敏感点与爆源水平距离需大于35.044 m方可满足95%置信安全标准;当爆破方案的最大单段药量为18.6 kg时,2#敏感点与爆源水平距离需大于25.660 m方可满足95%置信安全标准。基于此模型,对隧道敏感地段制定差异化爆破管控方案。该方法为同类软岩地下工程爆破施工提供了理论支撑。
, authors=李朝朋
1, 黄海仙
2, 李海谦
2, 李晓亮
1, 叶齐鹏
1, 陆海勇
1, 李启月
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李朝朋(1981—),男,河北石家庄人,高级工程师,主要从事炸药研究与爆破工程技术研究。E-mail: 572852399@qq.com
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李朝朋(1981—),男,河北石家庄人,高级工程师,主要从事炸药研究与爆破工程技术研究。E-mail: 572852399@qq.com
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