Article(id=1282036058586071697, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.0116, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749830400000, receivedDateStr=2025-06-14, revisedDate=1755446400000, revisedDateStr=2025-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590815445, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590815445, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590815445, creator=13701087609, updateTime=1783590815445, 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=139, endPage=148, ext={EN=ArticleExt(id=1282036058812564114, articleId=1282036058586071697, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Review on diseased tunnel health diagnosis and reinforcement technologies, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to reduce tunnel lining diseases and extend the safe service life, a diagnostic framework for tunnel lining diseases was constructed, and maintenance and reinforcement methods for diseased tunnels were explored from the perspectives of diagnosis and reinforcement. The application status of technologies for diagnosing tunnel diseases and maintaining/reinforcing tunnels was reviewed. The advantages and disadvantages of various detection technologies were systematically identified, and disease diagnosis methods and reinforcement measures were summarized. The results show that non-destructive testing technologies have evolved from single/semi-automatic to integrated/intelligent systems. Acoustic wave, ground-penetrating radar, and laser scanning technologies have different efficiency and accuracy characteristics. Although automatic detection systems integrating photogrammetry and multi-sensor fusion have gradually been applied, they face challenges in the synchronous detection of multiple diseases. Traditional maintenance and reinforcement technologies are difficult to meet the requirements of low cost and high safety. Although new technologies such as Fiber Reinforced Polymer (FRP) are advantageous, they have issues such as high cost and insufficient environmental adaptability.

, authors=Yujing JIANG^{1, 2, 3}, Zhutian PAN², Xuepeng ZHANG^{**, 1, 2}, Ningbo LI⁴, authorsList=Yujing JIANG, Zhutian PAN, Xuepeng ZHANG, Ningbo LI, authorCompany=null, correspAuthors=Xuepeng ZHANG, 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=1282036059244577429, articleId=1282036058586071697, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=隧道病害健康诊断及维修加固技术研究综述, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为减少隧道衬砌病害，延长隧道的安全使用年限，从隧道病害诊断和维修加固角度出发，构建隧道衬砌病害诊断框架，探索病害隧道维修加固手段。通过综述分析隧道病害健康诊断及维修加固技术的应用现状，系统梳理各类检测技术的优缺点，总结病害诊断方法与补强措施。研究结果表明：无损检测技术已从单一化、半自动化向集成化、智能化发展，声波法、地质雷达法、激光扫描等技术在效率与精度上各有特性，摄影测量与多传感器融合的自动检测系统逐步应用但存在多病害同步检测瓶颈；维修加固技术中，传统方法难以满足低成本、高安全性需求，纤维增强复合材料（FRP）等新型技术虽具优势但存在成本高、环境适应性不足等问题。

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²山东科技大学 安全与环境工程学院，山东 青岛 266590
³长崎大学 工学研究科，日本 长崎 852-8521, bio={"content":"

蒋宇静（1962—），男，江苏靖江人，博士，教授，日本工程院外籍院士，主要从事矿山及地下工程灾害防控理论与技术方面的研究。E-mail: jiang@nagasaki-u.ac.jp。

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蒋宇静（1962—），男，江苏靖江人，博士，教授，日本工程院外籍院士，主要从事矿山及地下工程灾害防控理论与技术方面的研究。E-mail: jiang@nagasaki-u.ac.jp。

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