钢筋混凝土结构状态监测技术研究新进展
CSTR:
作者:
作者单位:

1.西南交通大学,土木工程学院,成都 611756;2.西南交通大学,桥梁智能与绿色建造全国重点实验室,成都 611756

作者简介:

张方(1973- ),男,博士,主要从事既有桥梁结构评估、诊断与加固理论、桥梁文化遗产规划和保护以及大跨度桥梁施工监控和健康监测研究,E-mail:fangzhang@home.swjtu.edu.cn。
ZHANG Fang (1973- ), PhD, main research interests: assessment, diagnosis and reinforcement of existing bridge structures, planning and preservation of cultural heritage of bridges, construction monitoring and health monitoring of large-span bridges, E-mail: fangzhang@home.swjtu.edu.cn.

通讯作者:

中图分类号:

TU196.1;U445.7

基金项目:

国家自然科学基金(51778532);中国工程院重点咨询项目(2015-05-ZD-002)


New advances in condition monitoring technology study for reinforced concrete structures
Author:
Affiliation:

1.School of Civil Engineering, Southwest Jiaotong University, Chengdu 611756, P. R. China;2.National Key Laboratory of Bridge Intelligent and Green Construction, Southwest Jiaotong University, Chengdu 611756, P. R. China

Fund Project:

National Natural Science Foundation of China (No. 51778532); Key Consultancy Projects of the Chinese Academy of Engineering (No. 2015-05-ZD-002)

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    摘要:

    对钢筋混凝土结构状态进行监测是保障其性能水平的本质需求,相关领域的技术进步给这个传统方向带来了新的发展契机。对近年来钢筋混凝土结构中钢筋锈蚀监测和混凝土耐久性监测新技术进行综述。在钢筋锈蚀监测方面,综述了半电池及自然电位监测法、极化电阻技术、电流噪声评估法等化学监测方法和超声波监测法、物理成像技术、电磁学监测技术等物理监测技术以及基于人工智能的新监测方法;在混凝土状态与耐久性监测方面,综述了超声波监测、数字成像技术监测、损伤评价指标体系研究等基于混凝土自身劣化的监测技术和基于裂缝评估混凝土状态的监测技术以及基于人工智能的新技术;在传感器及信号处理技术方面,综述了光纤传感器和其他新型传感器技术在钢筋锈蚀监测和混凝土状态监测的最新研究进展。随着状态感知层前端技术的发展,人工智能技术的融入是未来钢筋混凝土结构状态监测跨学科发展的一个趋势。

    Abstract:

    The need for monitoring the condition of RC structures is imperative in order to safeguard their performance level, and this conventional approach has engendered novel development opportunities due to technological advances in related fields. In this paper, new technologies for reinforcing steel corrosion monitoring and concrete durability monitoring in reinforced concrete structures in recent years are reviewed: in the aspect of reinforcing steel corrosion monitoring, chemical monitoring methods such as the half-cell and natural potential monitoring method, polarisation resistance technology, current noise assessment method and physical monitoring techniques such as the ultrasonic monitoring method, physical imaging technology, electromagnetism monitoring technology and new monitoring methods based on artificial intelligence are reviewed; in the aspect of concrete condition and durability monitoring, the ultrasonic monitoring, digital imaging technology monitoring, damage evaluation index system research and other monitoring technologies based on the deterioration of concrete itself, and monitoring technologies based on the crack assessment of the concrete condition and new technologies based on artificial intelligence are reviewed; in the area of sensors and signal processing technology, an overview of optical fiber sensors and other new sensor technologies in the monitoring of corrosion of reinforcing bars and the latest research progress in the monitoring of the condition of concrete is presented. In conjunction with the advancement of front-end technologies at the condition-aware layer, the integration of artificial intelligence technologies is a prevailing trend in the future interdisciplinary development of RC structure condition monitoring.

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张方,丛龙宇,王雨辰,杨倩,钱永久.钢筋混凝土结构状态监测技术研究新进展[J].土木与环境工程学报(中英文),2026,48(2):150-162. ZHANG Fang, CONG Longyu, WANG Yuchen, YANG Qian, QIAN Yongjiu. New advances in condition monitoring technology study for reinforced concrete structures[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2026,48(2):150-162.10.11835/j. issn.2096-6717.2023.151

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  • 收稿日期:2023-10-17
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  • 在线发布日期: 2026-03-31
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