Article(id=1314907895234397055, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.02.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1761753600000, receivedDateStr=2025-10-30, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428072031, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428072031, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428072031, creator=13701087609, updateTime=1791428072031, 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=44, endPage=51, ext={EN=ArticleExt(id=1314907895490249600, articleId=1314907895234397055, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Rapid Stability Evaluation Method for Tailings Dam in Flood Season Based on Critical Rainfall Pattern Curve, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=
To rapidly evaluate the stability of tailings dams in flood season, the safety factor and reliability indices were selected to define the critical state of tailings dams. After unsaturated seepage analysis and limit equilibrium analysis, a safety evaluation method for tailings dams in flood season was proposed based on the Critical Rainfall Pattern Curve (CRPC). An orthogonal test results show that the physical parameters of effective internal friction angle φ', saturated hydraulic conductivity Ks, V-G model fitting parameter a, effective cohesion c' of tailings sand, and V-G model fitting parameter n were in a descending order in terms of their influences on safety factor-based CRPC. The parameters of c', φ' and Ks mainly control the horizontal variation of CRPC, while the parameters of a and n dominate its vertical variation. On this basis, φ', Ks, a and c' are selected to establish the reliability index-based CRPC. Parameter analysis results indicate that the area of the stable region of the reliability index-based CRPC gradually decreases with the increase of the coefficient of variation (COV) of c', φ', Ks and a, among which the COV of φ' exerts the most significant impact. Based on the measured rainfall records in flood season, two types of CRPC were adopted to assess tailings dam stability and early-warnings were provided. Based on comparison with the statistical data from local safety monitoring departments, it is recommended that the safety factor-based CRPC method be adopted when the statistical characteristics of soil parameters are unknown.
, authors=Jiakun LIU, Chen QU, Chao WANG, Liang LI, authorsList=Jiakun LIU, Chen QU, Chao WANG, Liang LI, authorCompany=null, correspAuthors=Liang 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=1314907895804822401, articleId=1314907895234397055, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=基于临界降雨模式曲线的汛期尾矿坝稳定性快速评估方法, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=
为快速评估汛期尾矿坝稳定性,选取安全系数与可靠度指标确定尾矿坝的临界状态,通过非饱和渗流与极限平衡分析,提出基于临界降雨模式曲线(CRPC)的汛期尾矿坝安全评价方法。正交试验结果表明:尾矿砂有效黏聚力c'、有效内摩擦角φ'、饱和渗透系数Ks及V-G模型拟合参数a、n对基于安全系数的CRPC影响程度依次为φ'>Ks>a>c'>n。c'、φ'、Ks主要控制CRPC水平变化,而a、n则主导其垂直变化。基于此,选取φ'、Ks、a、c'构建基于可靠度指标的CRPC。参数分析结果表明:随着c'、φ'、Ks、a变异系数增大,基于可靠度指标的CRPC稳定区域逐渐减小,其中φ'变异系数对其影响最大。基于汛期实测降雨记录,应用2种CRPC评价汛期尾矿坝稳定性并提出预警建议,与当地安全监测部门的统计数据对比,在土体参数统计特征未知的前提下,推荐使用基于安全系数的CRPC法。
, authors=刘佳坤, 渠琛, 王超, 李亮, authorsList=刘佳坤, 渠琛, 王超, 李亮, authorCompany=null, correspAuthors=李亮, authorNote=
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刘佳坤(2002-),男,山东临沂人,硕士研究生,主要从事边坡稳定性分析研究。E-mail: jiakunliu770@gmail.com
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刘佳坤(2002-),男,山东临沂人,硕士研究生,主要从事边坡稳定性分析研究。E-mail: jiakunliu770@gmail.com
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