Article(id=1321893345518015286, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, 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=1755446400000, receivedDateStr=2025-08-18, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093533161, onlineDateStr=2026-10-27, pubDate=1784908800000, pubDateStr=2026-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093533161, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093533161, creator=13701087609, updateTime=1793093533161, updator=13701087609, issue=Issue{id=1321893331622286028, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='7', pageStart='1', pageEnd='320', issueExtLink='null', onlineDate='null', pubDate='1784908800000', pubDateStr='2026-07-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093529849, creator='13701087609', updateTime=1793094587578, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897768357048353, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897768357048354, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893331622286028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=62, endPage=70, ext={EN=ArticleExt(id=1321893346390430519, articleId=1321893345518015286, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Research on Dynamic Response and Parameter Optimization of Blasting in Near-Surface Mining, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To solve the problem that the cultural relic area and cultural relic group directly above a copper ore body are affected by mining blasting vibration, the dynamic response and parameter optimization of blasting in near-surface mining were systematically studied. Firstly, the relationship between the surface cultural relic area and the ore body was analyzed, and the maximum allowable blasting vibration velocity was determined by combining domestic and international safety criteria for blasting vibration. Based on the M. A. Sadovsky empirical formula, the maximum single-delay blasting explosive charge within the blast safety distance was obtained. Then, blasting simulations of the four levels at 1 945 m, 2 020 m, 2 095 m and 2 245 m closest to the surface throughout the mine's life cycle were carried out by numerical simulation, and the rationality of the maximum single-delay blasting explosive charge was verified. Finally, during blasting at the representative level underground, surface vibration tests were conducted using measuring points arranged on the surface. The results show that the maximum single-delay explosive charges at the four level are 745 kg, 390 kg, 172.5 kg and 10 kg, respectively, all of which are equal to or less than the allowable maximum single-delay explosive charge. The surface peak vibration induced by blasting velocity at the 2 245 m level is 0.5 cm/s, which is greater than that of the other three levels, but remains less than the maximum allowable vibration velocity, indicating that the blasting seismic wave has no effect on the surface structures. Based on the field blasting vibration data, an SSA-Elman neural network model for predicting Y-direction blasting vibration was constructed and compared with the traditional Elman neural network model. The predicted values of the SSA-Elman neural network model are basically consistent with the measured values, with an average MAE of 0.01, which verifies its accuracy. The research results provide a basis for the design of blasting parameters for other levels of the copper mine.

, authors=Ning Yang^{1, 2}, Xiangang Yin^{1, 2}, Zhouying Zhong^{1, 2}, Zepeng Li^{1, 2}, authorsList=Ning Yang, Xiangang Yin, Zhouying Zhong, Zepeng Li, authorCompany=null, correspAuthors=Zepeng Li, 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=1321893347342537530, articleId=1321893345518015286, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=近地表开采爆破动力响应及参数优化研究, columnId=1226462294490657775, journalTitle=矿业研究与开发, columnName=采矿与矿山充填, runingTitle=null, highlight=null, articleAbstract=

为解决某铜矿矿体正上方文物区及文物群受开采爆破振动影响的问题，对近地表开采爆破动力响应及参数优化开展了系统研究。首先，分析了地表文物区与矿体的关系，结合国内外爆破振动安全判据确定了最大允许爆破振动速度，并基于M.A.萨道夫斯基经验公式得出爆破安全允许距离内的最大单段爆破炸药量；然后，通过数值模拟对全生命周期开采中最靠近地表的1 945 m、2 020 m、2 095 m、2 245 m四个中段进行爆破模拟，验证了最大单段爆破炸药量的合理性；最后，在井下代表性中段爆破时，于地表布置测点开展了爆破振动测试。结果表明，4个中段爆破的单段最大药量分别为745 kg、390 kg、172.5 kg、10 kg，均等于或小于允许的单段最大炸药量；2 245 m中段爆破引起的地表振动速度峰值为0.5 cm/s，大于其他3个中段，小于所允许的最大振速，爆破地震波对地表构筑物无影响。基于现场爆破振动数据构建了SSA-Elman神经网络Y方向爆破振动预测模型，并与传统Elman神经网络模型进行对比，SSA-Elman神经网络模型预测值与实测值基本吻合，平均MAE为0.01，验证了其准确性。研究成果为该铜矿其他中段爆破参数设计提供了依据。

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杨宁（1992—），男，宁夏中卫人，硕士，高级工程师，主要研究方向为金属矿山开采。E-mail:34040682@qq.com

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杨宁（1992—），男，宁夏中卫人，硕士，高级工程师，主要研究方向为金属矿山开采。E-mail:34040682@qq.com

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