钢桥病害的监测和检测:综述

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI:10.1016/j.jtte.2024.03.001
Chuang Cui , Qinghua Zhang , Dengke Zhang , Wulve Lao , Lemou Wu , Zhenxiong Jiang
{"title":"钢桥病害的监测和检测:综述","authors":"Chuang Cui ,&nbsp;Qinghua Zhang ,&nbsp;Dengke Zhang ,&nbsp;Wulve Lao ,&nbsp;Lemou Wu ,&nbsp;Zhenxiong Jiang","doi":"10.1016/j.jtte.2024.03.001","DOIUrl":null,"url":null,"abstract":"<div><p>Fatigue, corrosion, and bolt loosening are the main causes of structural performance degradation and collapse in steel bridges. Accurate monitoring of steel bridge diseases is a basic premise for ensuring high-quality operation and maintenance of steel bridges. In this regard, a summary and analysis were conducted on the classification of steel bridge diseases, monitoring and detection methods, application statuses, and major difficulties. The main causes, research status, and development trends of steel bridge diseases are discussed. The results showed that, for fatigue crack problems, fatigue crack initiation has a small scale, high difficulty in monitoring and detection, few methods, and low accuracy. As the cracks grow, the difficulty of monitoring and detection decreases, the number of methods increases, and the accuracy improves. Fatigue crack monitoring and detection are affected by the environmental and vehicular loads. Superficial corrosion features are evident in steel bridges, and corrosion identification methods and technologies are rapidly developing. Monitoring and detecting corrosion in concealed areas is difficult and requires further improvements in monitoring and detection technologies and their accuracy. Monitoring and detection methods and supporting equipment for bolt loosening in steel bridges are rapidly developing. The development of intelligent monitoring and detection technologies and supporting equipment is an important research topic that urgently needs to be addressed for the full-lifecycle operation and maintenance of steel bridges and the sustainable development of bridge engineering. Developing new intelligent sensing components based on high-performance materials and sensing element design theory to improve the monitoring and detection perception ability is an important development direction for steel bridge monitoring and detection. Research on intelligent monitoring and detection technologies, standardized indicators, and related topics based on intelligent operations and maintenance provide great support for the development of steel-bridge disease monitoring and detection.</p></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":null,"pages":null},"PeriodicalIF":7.4000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209575642400028X/pdfft?md5=2f315834146333a8d1809aa8d2fb262c&pid=1-s2.0-S209575642400028X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Monitoring and detection of steel bridge diseases: A review\",\"authors\":\"Chuang Cui ,&nbsp;Qinghua Zhang ,&nbsp;Dengke Zhang ,&nbsp;Wulve Lao ,&nbsp;Lemou Wu ,&nbsp;Zhenxiong Jiang\",\"doi\":\"10.1016/j.jtte.2024.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fatigue, corrosion, and bolt loosening are the main causes of structural performance degradation and collapse in steel bridges. Accurate monitoring of steel bridge diseases is a basic premise for ensuring high-quality operation and maintenance of steel bridges. In this regard, a summary and analysis were conducted on the classification of steel bridge diseases, monitoring and detection methods, application statuses, and major difficulties. The main causes, research status, and development trends of steel bridge diseases are discussed. The results showed that, for fatigue crack problems, fatigue crack initiation has a small scale, high difficulty in monitoring and detection, few methods, and low accuracy. As the cracks grow, the difficulty of monitoring and detection decreases, the number of methods increases, and the accuracy improves. Fatigue crack monitoring and detection are affected by the environmental and vehicular loads. Superficial corrosion features are evident in steel bridges, and corrosion identification methods and technologies are rapidly developing. Monitoring and detecting corrosion in concealed areas is difficult and requires further improvements in monitoring and detection technologies and their accuracy. Monitoring and detection methods and supporting equipment for bolt loosening in steel bridges are rapidly developing. The development of intelligent monitoring and detection technologies and supporting equipment is an important research topic that urgently needs to be addressed for the full-lifecycle operation and maintenance of steel bridges and the sustainable development of bridge engineering. Developing new intelligent sensing components based on high-performance materials and sensing element design theory to improve the monitoring and detection perception ability is an important development direction for steel bridge monitoring and detection. Research on intelligent monitoring and detection technologies, standardized indicators, and related topics based on intelligent operations and maintenance provide great support for the development of steel-bridge disease monitoring and detection.</p></div>\",\"PeriodicalId\":47239,\"journal\":{\"name\":\"Journal of Traffic and Transportation Engineering-English Edition\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S209575642400028X/pdfft?md5=2f315834146333a8d1809aa8d2fb262c&pid=1-s2.0-S209575642400028X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Traffic and Transportation Engineering-English Edition\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S209575642400028X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Traffic and Transportation Engineering-English Edition","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209575642400028X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

疲劳、腐蚀和螺栓松动是导致钢桥结构性能下降和垮塌的主要原因。准确监测钢桥病害是确保钢桥高质量运营和维护的基本前提。为此,对钢桥病害的分类、监测检测方法、应用现状及主要难点进行了总结分析。探讨了钢桥病害的主要成因、研究现状和发展趋势。结果表明,对于疲劳裂缝问题,疲劳裂缝起始规模小、监测检测难度大、方法少、精度低。随着裂缝的扩大,监测和检测的难度降低,方法增多,精度提高。疲劳裂纹的监测和检测受到环境和车辆载荷的影响。钢桥表层腐蚀特征明显,腐蚀识别方法和技术发展迅速。隐蔽区域的腐蚀监测和检测难度较大,需要进一步提高监测和检测技术及其准确性。钢桥螺栓松动监测检测方法和配套设备发展迅速。为实现钢结构桥梁的全寿命周期运营和维护,促进桥梁工程的可持续发展,开发智能监测检测技术和配套设备是亟待解决的重要研究课题。基于高性能材料和传感元件设计理论开发新型智能传感元件,提高监测检测感知能力,是钢桥监测检测的重要发展方向。基于智能运维的智能监测检测技术、标准化指标及相关课题的研究,为钢桥病害监测检测的发展提供了有力支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Monitoring and detection of steel bridge diseases: A review

Fatigue, corrosion, and bolt loosening are the main causes of structural performance degradation and collapse in steel bridges. Accurate monitoring of steel bridge diseases is a basic premise for ensuring high-quality operation and maintenance of steel bridges. In this regard, a summary and analysis were conducted on the classification of steel bridge diseases, monitoring and detection methods, application statuses, and major difficulties. The main causes, research status, and development trends of steel bridge diseases are discussed. The results showed that, for fatigue crack problems, fatigue crack initiation has a small scale, high difficulty in monitoring and detection, few methods, and low accuracy. As the cracks grow, the difficulty of monitoring and detection decreases, the number of methods increases, and the accuracy improves. Fatigue crack monitoring and detection are affected by the environmental and vehicular loads. Superficial corrosion features are evident in steel bridges, and corrosion identification methods and technologies are rapidly developing. Monitoring and detecting corrosion in concealed areas is difficult and requires further improvements in monitoring and detection technologies and their accuracy. Monitoring and detection methods and supporting equipment for bolt loosening in steel bridges are rapidly developing. The development of intelligent monitoring and detection technologies and supporting equipment is an important research topic that urgently needs to be addressed for the full-lifecycle operation and maintenance of steel bridges and the sustainable development of bridge engineering. Developing new intelligent sensing components based on high-performance materials and sensing element design theory to improve the monitoring and detection perception ability is an important development direction for steel bridge monitoring and detection. Research on intelligent monitoring and detection technologies, standardized indicators, and related topics based on intelligent operations and maintenance provide great support for the development of steel-bridge disease monitoring and detection.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
期刊最新文献
Potential applications for composite utilization of rubber and plastic in asphalt pavements: A critical review Design equations for maximum stress concentration factors for concrete-filled steel tubular K-joints A systematic review of digital twins for electric vehicles Architecture, application, and prospect of digital twin for highway infrastructure Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1