Article(id=1282036049815770057, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.0964, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749139200000, receivedDateStr=2025-06-06, revisedDate=1756742400000, revisedDateStr=2025-09-02, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590813354, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590813354, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590813354, creator=13701087609, updateTime=1783590813354, updator=13701087609, issue=Issue{id=1282036038860255373, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='11', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1764259200000', pubDateStr='2025-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590810742, creator='13701087609', updateTime=1783593801313, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048582291276616, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048582295470921, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=24, endPage=31, ext={EN=ArticleExt(id=1282036050029679562, articleId=1282036049815770057, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Construction risk assessment of metro engineering technical interface based on fault tree and fuzzy BN, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=

In order to quantify the construction risk of urban subway engineering technology interface and screen the key risk factors, a construction risk assessment method of subway engineering technology interface based on fault tree and fuzzy BN was proposed. Firstly, the construction risk factors of metro engineering technology interface were identified from five aspects: personnel, materials and equipment, technology, environment, and management. Secondly, the fault tree model was used to sort out the logical relationship between the construction risk factors, construct a Bayesian network model of the construction risk of metro engineering technology interface, and evaluate the probability of the occurrence of each construction risk factor based on the theory of fuzzy sets and the experience of the experts. Lastly, BN was used to assess the construction risk of Beijing Metro Line 17, which was the largest and most important construction risk factor in China. Finally, BN was used to simulate and evaluate the construction risk of the northern section of Beijing Metro Line 17 as an example. The results show that the probability of risk occurrence in the construction phase of subway engineering technology interface is 65%, which is in the medium risk status level and matches the actual construction of the engineering technology interface. Through reverse diagnostic reasoning, the combination of risk factors with greater impact can be quickly identified, and the efficiency of the diagnosis of the construction risk events of the technical interface can be improved. Meanwhile, through the sensitivity analysis, it can be seen that the weak safety awareness of the technical interface construction personnel and the implementation of the interface construction management system are the key risk factors leading to the occurrence of engineering and technical interface construction risks. The assessment method can provide theoretical support for the prevention and management of metro engineering technology interface construction risk. By constructing a fault tree model to clearly sort out the logical relationships between risk factors, and then converting it into a fuzzy BN model, the accurate calculation and evaluation of risk probabilities are realized. This method has been verified in practical engineering cases, enabling the precise identification of key risk factors and providing a clear direction for risk management and control.

, authors=Linjun YAN^{1, 2}, Jingjing LIU¹, Yani WANG¹, Huixin CHEN¹, authorsList=Linjun YAN, Jingjing LIU, Yani WANG, Huixin CHEN, 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=1282036050239394763, articleId=1282036049815770057, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于故障树和模糊BN的地铁工程技术接口施工风险评估, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为量化城市地铁工程技术接口施工风险并甄别关键风险因素，提出一种基于故障树和模糊贝叶斯网络（BN）的地铁工程技术接口施工风险评估方法。首先，从人员、材料设备、技术、环境、管理5个方面识别出地铁工程技术接口施工风险因素；然后，运用故障树模型梳理施工风险因素之间的逻辑关系，构建地铁工程技术接口施工风险BN模型，并基于模糊集理论和专家经验评估各施工风险因素发生概率；最后，以北京地铁17号线北段工程为例，进行施工风险仿真评估，验证文中所提风险评估方法的科学性和有效性。研究结果表明：在地铁工程技术接口施工阶段，风险发生的概率为65%，处于中风险等级，且与工程技术接口实际施工的情况相匹配；通过逆向诊断推理，可快速识别出影响较大的风险因素组合，提高技术接口施工风险事件的诊断效率；通过敏感性分析得出，技术接口施工人员安全意识薄弱、接口施工管理制度的落实情况差是导致工程技术接口施工风险发生的关键致险因素。通过构建故障树模型，清晰梳理了风险因素间的逻辑关系，再转化为模糊BN模型，实现了对风险概率的计算与评估。

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²Gansu Vocational and Technical College of Communications, Lanzhou Gansu 730207, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282036052378489816, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036049815770057, authorId=1282036050654630868, language=CN, stringName=闫林君副教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹兰州交通大学 土木工程学院，甘肃 兰州 730070
²甘肃交通职业技术学院，甘肃 兰州 730207, bio={"content":"

闫林君（1975—），男，山东高密人，博士，副教授，主要从事土木工程建造与管理等方面的研究。E-mail: 2843881181@qq.com。

"}, bioImg=null, bioContent=

闫林君（1975—），男，山东高密人，博士，副教授，主要从事土木工程建造与管理等方面的研究。E-mail: 2843881181@qq.com。

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