Article(id=1322559957631881775, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, 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=1743868800000, receivedDateStr=2025-04-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252465875, onlineDateStr=2026-10-29, pubDate=1774368000000, pubDateStr=2026-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252465875, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252465875, creator=13701087609, updateTime=1793252465875, updator=13701087609, issue=Issue{id=1322559901990240737, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='3', pageStart='1', pageEnd='330', issueExtLink='null', onlineDate='null', pubDate='1774368000000', pubDateStr='2026-03-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252452609, creator='13701087609', updateTime=1793252731500, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322561071810991099, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322561071810991100, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=101, endPage=109, ext={EN=ArticleExt(id=1322559959682896433, articleId=1322559957631881775, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Prediction of Surface Subsidence Range Induced by Caving Mining in Metal Mines, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Caving mining is widely recognized to trigger large-scale strata movement and ground deformation, making a reliable delineation of the surface subsidence range essential for mitigating associated losses. In this study, a representative metal mine adopting the caving method was investigated, and the subsidence range was evaluated using numerical simulation, analytical modelling, and similarity simulation model test. Numerical simulations were first performed to obtain a preliminary subsidence profile. On this basis, an enhanced Weibull-distribution-based formulation was developed to better capture the subsidence characteristics induced by caving mining in metal mines. The spatial uncertainty of rock-mass mechanical properties was then incorporated via reliability theory to provide a reliability-informed prediction of the subsidence range. Finally, the analytical predictions were validated by similarity simulation tests. The three approaches yield subsidence extents in the following ascending order: numerical simulation < similarity simulation test < reliability-based analysis. The discrepancy between theoretical predictions and test results ranges from 0.30% to less than 5%, demonstrating the robustness and credibility of the proposed method for subsidence-range delineation.

, authors=Fu FU^{1, 2}, Changyu JIN¹, Longbin DONG³, Guihong YAO⁴, authorsList=Fu FU, Changyu JIN, Longbin DONG, Guihong YAO, authorCompany=null, correspAuthors=Changyu JIN, 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=1322559960484008499, articleId=1322559957631881775, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=金属矿山崩落法开采的地表沉陷范围预测研究, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

崩落法开采往往会引发大规模的岩层移动和地表变形，为准确预测崩落法开采的地表沉陷范围，有效减轻其造成的损失，以某金属矿崩落法开采为背景，分别采用数值模拟、理论分析、相似模拟试验对地表沉陷范围进行预测研究。通过数值模拟初步获取地表沉陷情况，结合崩落法开采的特点，通过理论分析，提出了一套改进的适用于金属矿山崩落法开采的威布尔分布法地表沉陷预计表达式，同时考虑岩体力学参数的随机性和变异性，基于可靠度理论对地表沉陷范围进行了预测分析。最后利用相似模拟试验对分析结果进行验证。结果表明：三种方法预测的沉陷范围的大小关系为数值模拟<相似模拟试验<基于可靠度的理论分析法，理论计算结果与试验结果的偏差率最小为0.30%，最大不到5%，验证了提出的地表沉陷范围理论计算方法的合理性与可靠性。

, authors=符富^{1, 2}, 金长宇¹, 东龙宾³, 姚桂宏⁴, authorsList=符富, 金长宇, 东龙宾, 姚桂宏, authorCompany=null, correspAuthors=金长宇, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=/bHaZzVNOrDxm/h3UVCblQ==, magXml=Wk6Lb/iMZGADlrPH5speaQ==, pdfUrl=null, pdf=hf+wX1yOG0rflWfA6qc/Zw==, pdfFileSize=2753872, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=MHRsMLqieHmsZLtFs2f4Bg==, mapNumber=null, fund=null)}, authors=[Author(id=1322559961247371841, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559957631881775, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1811006476@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322559961327063620, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559957631881775, authorId=1322559961247371841, language=EN, stringName=Fu FU, firstName=Fu, middleName=null, lastName=FU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.State Key Laboratory of Intelligent Deep Metal Mining and Equipment, Northeastern University, Shenyang, Liaoning 110819, China
^2.Yunnan Chihong Zn & Ge Co., Ltd., Qujing, Yunnan 655099, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322559961431921221, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559957631881775, authorId=1322559961247371841, language=CN, stringName=符富, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1．东北大学 深部金属矿智能开采与装备全国重点实验室，辽宁 沈阳　110819
^2．云南驰宏锌锗股份有限公司，云南 曲靖市　655099, bio={"content":"

符富（1999—），男，贵州铜仁人，硕士研究生，主要研究方向为地下开采地表沉陷预测。E-mail: 1811006476@qq.com

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符富（1999—），男，贵州铜仁人，硕士研究生，主要研究方向为地下开采地表沉陷预测。E-mail: 1811006476@qq.com

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