Article(id=1308453899174699066, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.03.018, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1745769600000, receivedDateStr=2025-04-28, revisedDate=1762185600000, revisedDateStr=2025-11-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889319460, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889319460, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889319460, creator=13701087609, updateTime=1789889319460, updator=13701087609, issue=Issue{id=1308453882472984927, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='3', pageStart='1', pageEnd='150', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789889315479, creator='13701087609', updateTime=1789889814158, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308455974147224139, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308455974151418444, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=141, endPage=150, ext={EN=ArticleExt(id=1308453900844032059, articleId=1308453899174699066, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Dynamic Early Warning System for Anti-Floating Failure of Subway Structures, columnId=1152669336394183038, journalTitle=Urban Rapid Rail Transit, columnName=Civil Engineering Technology, runingTitle=null, highlight=null, articleAbstract=

To evaluate the threat posed by groundwater level fluctuations to the structural safety of subway systems, a dynamic early warning system for anti-floating failure of subway structures was developed. Taking the Beijing subway as an example, its structural types and geological environment characteristics were systematically analyzed. Station structures were classified into four categories based on burial depth and geological conditions, and section tunnels were further subdivided into eight categories based on excavation methods. Representative standard cross-sections from each category were selected as the basis for numerical modeling. Utilizing the suction stress-based effective stress principle and the Mohr-Coulomb constitutive model, a hydro-mechanical coupling numerical model was established to systematically simulate the stress and deformation responses of subway structures under various hydrological conditions, and a numerical simulation database covering multiple working conditions was constructed. By quantitatively evaluating the stability of subway structures under different hydrological conditions, structural internal forces, displacement, bearing capacity, and maximum crack width were selected as four early warning indicators. The contribution of each indicator to anti-floating failure was analyzed. Combining expert scoring data, the analytic hierarchy process (AHP) was used to determine the indicator weights, thereby constructing a dynamic early warning system for anti-floating failure of subway structures. The results show that the established database can effectively reveal the mechanism of ground bearing capacity weakening caused by rising water levels. Moreover, the proposed early warning system achieves accurate stability assessments and risk warning, while implementing water discharge and pressure reduction as primary control measures significantly enhances its real-time performance and engineering applicability. This study provides a theoretical basis and technical support for the safe operation and maintenance of underground structures such as subways under changing hydrological conditions.

, authors=Zhongdong LIANG¹, Zhibin LI¹, Qifeng GUAN¹, Yue ZHANG¹, Yepeng SHAN², Guoqing CAI², authorsList=Zhongdong LIANG, Zhibin LI, Qifeng GUAN, Yue ZHANG, Yepeng SHAN, Guoqing CAI, 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=1308453901125050428, articleId=1308453899174699066, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=地铁结构抗浮失效动态预警体系研究, columnId=1152669336603898239, journalTitle=都市快轨交通, columnName=土建技术, runingTitle=null, highlight=null, articleAbstract=

为评价地下水位波动对地铁结构安全造成的威胁，开展地铁结构抗浮失效动态预警体系研究。以北京地铁为对象，系统梳理其结构类型与地质环境特征，将车站结构按埋深和地层条件划分为4类，区间隧道在此基础上结合开挖方式进一步细分为8类，并选取每类中具有代表性的标准横断面作为数值建模基础。基于吸应力的有效应力原理与摩尔-库伦本构模型，建立流固耦合数值模型，系统模拟多种水文条件下地铁结构的应力与变形响应，构建涵盖多工况的数值仿真数据库。通过定量评估不同水文条件下地铁结构的稳定性，选取结构内力、位移、承载力与最大裂缝宽度作为4项预警指标，分析各指标对抗浮失效的贡献程度，结合专家打分数据，采用层次分析法（AHP）确定指标权重，从而构建一套地铁结构抗浮失效动态预警体系。结果表明：所建数据库能够有效揭示水位上升引起地基承载力弱化的机理；基于应力与位移耦合指标构建的预警体系可实现对抗浮稳定性的准确评估与风险预警，并以泄水减压作为主要调控手段，显著提升预警的实时性与工程适用性。本研究可为变化水文条件下地铁等地下结构的安全运维提供理论依据与技术支持。

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梁中东，男，本科，高级工程师，从事轨道交通设计与施工相关工作，zd.liang@mtr.bj.cn

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梁中东，男，本科，高级工程师，从事轨道交通设计与施工相关工作，zd.liang@mtr.bj.cn

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