Article(id=1321897316655674029, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, 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=1773158400000, receivedDateStr=2026-03-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793094479954, onlineDateStr=2026-10-27, pubDate=1790265600000, pubDateStr=2026-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793094479954, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793094479954, creator=13701087609, updateTime=1793094479954, updator=13701087609, issue=Issue{id=1321897310649434924, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='9', pageStart='1', pageEnd='346', issueExtLink='null', onlineDate='null', pubDate='1790265600000', pubDateStr='2026-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793094478523, creator='13701087609', updateTime=1793094618231, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897896698561428, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897896698561429, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=155, endPage=166, ext={EN=ArticleExt(id=1321897316861194926, articleId=1321897316655674029, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Study on Failure Mechanism and Dynamic Catastrophe Analysis of Multiple Pillar Groups, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=
To reveal the failure mechanism and dynamic catastrophe evolution law of pillar group and solve the problem of large-area goaf collapse caused by pillar group instability in gently inclined orebody mining, the PFC2D numerical simulation method was adopted to conduct parallel uniaxial loading test simulations on three specimens with different strengths. The failure force chain and crack evolution characteristics of multiple pillars were analyzed, the chain instability mechanism of multiple pillars was revealed, and a key pillar theory based on trigger pillars, chain-breaking pillars, and critical pillars as well as a key pillar identification method were proposed. The method was verified by using the Fetr6 chromite mine case. The research shows that the instability of pillar group follows the law of chain failure, and pillars fail sequentially in the order of their strength from low to high. The trigger pillar is the weakest pillar that fails first during the chain failure process. The chain-breaking pillar can stop the propagation of chain failure in the pillar group. The critical pillar determines the critical state of overall instability of the pillar group system. The proposed key pillar identification method can accurately identify key pillars in the chain dynamic instability process. Verified by the Fetr6 chromite mine case, when the pillar bearing area loss rate reaches 0.523, the pillar group system can be judged as overall unstable. The research results provide a theoretical basis and technical support for the stability assessment and disaster prevention and control of pillar group in mines.
, authors=Fuhua Peng
1, 2, Shenping Zhang
1, 3, Runze Hu
1, authorsList=Fuhua Peng, Shenping Zhang, Runze Hu, 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=1321897317444203183, articleId=1321897316655674029, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=多矿柱群破坏机理与灾变动态分析研究, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=
为揭示矿柱群破坏机理与灾变动态演化规律,解决缓倾斜矿体开采中矿柱群失稳引发的采空区大面积垮塌问题,采用PFC2D数值模拟方法,对3个不同强度的试样开展并联单轴加载试验模拟,分析多矿柱破坏力链与裂纹演化特征,揭示了多矿柱链式失稳机理,提出了基于触发矿柱、断链矿柱和临界矿柱的关键矿柱理论及关键矿柱识别方法,并利用Fetr6铬铁矿案例对该方法进行验证。研究表明:矿柱群失稳遵循链式破坏规律,矿柱按其强度由低到高的顺序依次破坏,触发矿柱为链式破坏过程中最先失稳的薄弱矿柱,断链矿柱可终止矿柱群链式破坏蔓延,临界矿柱决定矿柱群系统整体失稳临界状态;提出的关键矿柱识别方法可精准识别链式动态失稳中的关键矿柱。经Fetr6铬铁矿案例验证,当矿柱承载面积损失率达到0.523时,可判定矿柱群系统整体失稳。研究成果为矿山矿柱群稳定性评估与灾害防控提供了理论依据和技术支撑。
, authors=彭府华
1, 2, 张沈平
1, 3, 胡润泽
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1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
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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, bio={"content":"
彭府华(1987—),男,江西井冈山人,博士研究生,高级工程师,主要从事矿山岩土灾害防治研究工作。E-mail:fuhuapeng@126.com
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彭府华(1987—),男,江西井冈山人,博士研究生,高级工程师,主要从事矿山岩土灾害防治研究工作。E-mail:fuhuapeng@126.com
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