Article(id=1314907974913589440, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.02.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1763654400000, receivedDateStr=2025-11-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428091027, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428091027, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428091027, creator=13701087609, updateTime=1791428091027, updator=13701087609, issue=Issue{id=1314907832038810534, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='2', pageStart='1', pageEnd='214', issueExtLink='null', onlineDate='null', pubDate='1774972800000', pubDateStr='2026-04-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791428056964, creator='13701087609', updateTime=1791430468655, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917947500486818, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917947500486819, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=15, endPage=20, ext={EN=ArticleExt(id=1314907975924416705, articleId=1314907974913589440, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Research on Occurrence and Failure Modes of Rock Mass Structural Planes in Open-Pit Slopes Based on Point Cloud Recognition Technology, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

To improve the efficiency of structural plane investigation and the accuracy of failure mode identification for open-pit slopes, the open-pit slope of Nannihu Molybdenum Mine in Henan Province was taken for research. The open-pit slopes were divided into 6 sub-areas, and a joint and fissure investigation method based on point cloud recognition was adopted to obtain the occurrence data of rock mass structural planes in each sub-area, and the recognition accuracy was verified by comparing with the manual scanline measurements. Cluster analysis was performed for the recognized structural plane data to divide the dominant structural plane sets in each sub-area. The spatial combination relationship between the dominant structural planes and the slope was analyzed by adopting stereographic projection to determine the potential failure modes of each sub-area. The results show that the occurrence data of the structural plane obtained by point cloud recognition are in good agreement with the manual measurements, which can meet the requirements of slope structural plane investigation and analysis. A total of 14 sets of dominant structural planes were identified in the six sub-areas:two sets of dominant structural planes were developed in each of zonesⅠ, Ⅱ, Ⅴ and Ⅵ, while three sets of dominant structural planes were developed in each of zones Ⅲ and Ⅳ. Based on stereographic projection analysis, there are certain differences in the potential failure modes of slopes in different sub-areas, mainly in planar sliding and wedge failure modes. It is found that a single failure mode occurs in some part of sub-areas, and a combination of two failure modes occur in others.

, authors=Jiadong LI¹, Xuyang ZHAO¹, Kun DU², Shaojie LI², authorsList=Jiadong LI, Xuyang ZHAO, Kun DU, Shaojie LI, authorCompany=null, correspAuthors=Kun DU, 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=1314907976738111682, articleId=1314907974913589440, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=基于点云识别技术的露天矿边坡岩体结构面产状与破坏模式研究, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

为提高露天边坡结构面调查效率及破坏模式判识精度，以河南南泥湖钼矿露天边坡为研究对象，将露天边坡划分为6个调查分区，采用基于点云识别的节理裂隙调查方法获取各边坡区域岩体结构面产状数据，结合人工测线测量结果对识别精度进行验证。对识别获得的结构面数据进行聚类分析，划分出各边坡分区的优势结构面组，利用赤平投影方法分析优势结构面与边坡的空间组合关系，判定各分区潜在破坏模式。结果表明：点云识别获取的结构面产状数据与人工测量结果具有较好一致性，能够满足边坡结构面调查与分析要求。6个分区共识别出14组优势结构面，其中Ⅰ区、Ⅱ区、Ⅴ区和Ⅵ区各发育2组优势结构面，Ⅲ区和Ⅳ区各发育3组优势结构面；基于赤平投影分析，不同分区边坡潜在破坏模式存在一定差异，以平面滑动和楔形破坏为主，部分分区表现为单一破坏模式，部分分区则表现为2种破坏模式并存。

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李家东（1982-），男，河南周口人，工程师，主要从事采矿技术、矿山爆破技术、边坡稳定性分析研究工作。E-mail: 280730260@qq.com

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李家东（1982-），男，河南周口人，工程师，主要从事采矿技术、矿山爆破技术、边坡稳定性分析研究工作。E-mail: 280730260@qq.com

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