首页|Monitoring and detection of steel bridge diseases:A review

Monitoring and detection of steel bridge diseases:A review

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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 dis-eases,monitoring and detection methods,application statuses,and major difficulties.The main causes,research status,and development trends of steel bridge diseases are dis-cussed.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.

Steel bridgeDiseasesFatigue crackCorrosionBolt looseningMonitoring and detection

Chuang Cui、Qinghua Zhang、Dengke Zhang、Wulve Lao、Lemou Wu、Zhenxiong Jiang

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National Key Laboratory of Bridge Intelligent and Green Construction,Southwest Jiaotong University,Chengdu 610031,China

School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China

Jiangsu Provincial Transportation Engineering Construction Bureau,Nanjing 210004,China

国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金国家重点研发计划List of Scientific and Technological Key Projects in Transportation Industry

2022YFB37064055237831652278318521081762021YFB16003002019-MS1-011

2024

交通运输工程学报(英文版)

交通运输工程学报(英文版)

CSTPCD
ISSN:2095-7564
年,卷(期):2024.11(2)
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