Article(id=1322559966863540278, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, 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=1747152000000, receivedDateStr=2025-05-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252468076, onlineDateStr=2026-10-29, pubDate=1777046400000, pubDateStr=2026-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252468076, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252468076, creator=13701087609, updateTime=1793252468076, updator=13701087609, issue=Issue{id=1322559951067792299, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='4', pageStart='1', pageEnd='294', issueExtLink='null', onlineDate='null', pubDate='1777046400000', pubDateStr='2026-04-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252464310, creator='13701087609', updateTime=1793252763065, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322561204200001631, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322561204200001632, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=78, endPage=83, ext={EN=ArticleExt(id=1322559968411238457, articleId=1322559966863540278, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Sensitivity Analysis of Slope Stability with Steeply Dipping Weak Interlayer Based on Grey Relational-Orthogonal Test Method, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Slopes containing steeply dipping weak interlayers often fail due to the development of sliding surfaces along the weak interlayer. To address the sensitivity analysis of factors affecting the stability of such slopes, a grey relational-orthogonal test composite algorithm was proposed. The algorithm combines orthogonal test design, range analysis and grey relational method, a slope in an open-pit mine in Yunnan Province was taken as an engineering case for study. The strength reduction method was used to calculate the slope safety factor. An orthogonal test L₁₆(4⁵) with four levels and five factors was designed to analyze the influence of interlayer thickness, interlayer dip angle, distance from interlayer to slope surface, interlayer internal friction angle and interlayer cohesion on the stability of the open-pit slope. The results show that the interlayer dip angle has the most significant influence on slope stability, with its range proportion reaching 51.89%, followed by the internal friction angle of the weak interlayer, with a range proportion of 24.51%, while the other factors have weaker influences. The analysis results of the composite algorithm show a consistent trend with the traditional range analysis results, but the sensitivity ranking is clearer, verifying the reliability of this method. The study suggests that in slope design, the slope angle should be controlled to be smaller than the interlayer dip angle, and the slope stability should be enhanced by increasing the internal friction angle of the weak interlayer. By quantifying the sensitivity weights of key factors, theoretical support is provided for disaster warning, support design and emergency response.

, authors=Weizhong ZHANG¹, Chengzhang RONG¹, Renda TU¹, Hongbao ZHAO², Qinrong KANG¹, authorsList=Weizhong ZHANG, Chengzhang RONG, Renda TU, Hongbao ZHAO, Qinrong KANG, authorCompany=null, correspAuthors=Qinrong KANG, 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=1322559968692256826, articleId=1322559966863540278, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于灰色关联-正交试验法的含陡倾弱层边坡稳定性敏感性分析, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

含陡倾软弱夹层边坡常因滑动面沿软弱夹层发育而失稳，针对此类边坡稳定性影响因素的敏感性分析问题，提出了一种灰色关联-正交试验复合算法。该算法结合正交试验设计、极差分析与灰色关联法，以云南某露天矿边坡为工程实例进行研究。采用强度折减法计算边坡安全系数，设计四水平五因素正交试验L₁₆（4^5），分析夹层厚度、夹层倾角、夹层距坡面距离、夹层内摩擦角及夹层黏聚力等因素对露天边坡稳定性的影响。结果表明：夹层倾角对边坡稳定性影响最显著，其极差占比达51.89%；其次为软弱夹层内摩擦角，其极差占比达24.51%；其余因素影响较弱。复合算法分析结果与传统极差分析结果变化趋势一致，但敏感性排序更清晰，验证了该方法的可靠性。研究建议：在边坡设计时，应控制边坡角小于夹层倾角，并通过增大软弱夹层内摩擦角增强边坡稳定性。通过量化关键因素的敏感性权重，可为灾害预警、支护设计及应急处置提供理论支撑。

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张卫中（1977—），男，河南郾城人，博士，教授，主要从事矿山开采工艺与灾害治理研究工作。Ｅ-mail:wzzhang1120@126.com

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张卫中（1977—），男，河南郾城人，博士，教授，主要从事矿山开采工艺与灾害治理研究工作。Ｅ-mail:wzzhang1120@126.com

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