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首页 > 过刊浏览>2024年第27卷第11期 >1022-1032. DOI:10.3969/j.issn.1007-9629.2024.11.007
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钢筋混凝土结构锈蚀特征的漏磁探测研究进展
作者:
作者单位:

1.同济大学 工程结构性能演化与控制教育部重点实验室，上海 200092;2.同济大学 土木工程学院，上海 200092

作者简介:

张伟平（1973—），男，浙江金华人，同济大学教授，博士生导师，博士.E-mail：weiping_zh@tongji.edu.cn

通讯作者:

张伟平（1973—），男，浙江金华人，同济大学教授，博士生导师，博士.E-mail：weiping_zh@tongji.edu.cn

中图分类号:

TU411

基金项目:

上海市2022年度“科技创新行动计划”社会发展科技攻关项目（22dz1203603）


State-of-the-Art on Magnetic Flux Leakage Detection of Corrosion Characteristics of Reinforced Concrete Structures
Author:
Affiliation:

1.Key Laboratory of Performance Evolution and Control for Engineering Structures of the Ministry of Education， Tongji University， Shanghai 200092， China;2.College of Civil Engineering， Tongji University， Shanghai 200092， China

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    摘要:

    以混凝土结构中钢筋锈蚀特征的漏磁探测技术为主线，对相关研究进行综合回顾与分析.结果表明，基于漏磁探测技术能够准确识别混凝土结构中钢筋的锈蚀区域并定量评估钢筋锈蚀率.为进一步提升利用漏磁技术探测既有钢筋混凝土结构锈蚀特征的适用性和准确性，未来还需要充分考虑磁化强度随机分布引起的锈蚀率评估结果的概率分布特性，明确应力、疲劳、箍筋/相邻纵筋、锈蚀产物和混凝土的影响，推动基于漏磁成像的计算机视觉自动识别和融合多指标、多技术方法的应用.

    Abstract:

    The main focus is the state-of-the-art magnetic flux leakage （MFL） detection technique for rebar corrosion characteristics in reinforced concrete （RC） structures， providing a comprehensive analysis of relevant research. The results indicate that the MFL detection technique can accurately identify corrosion areas of rebar embedded in RC structures and quantitative assessment the corrosion degree of the rebar. To further improve the applicability and accuracy of using the MFL detection technique for corrosion characteristics in existing RC structures， the probabilistic distribution characteristics of corrosion degree assessments resulting from the random distribution of magnetization should be fully considered， the effects of stress， fatigue， stirrups/adjacent longitudinal rebars， corrosion products， and concrete should be clarified， and the application of computer vision for automatic identification based on MFL imaging and the integration of multiple indicators and methodologies needed be promoted.

    表 1 基于漏磁量化指标的锈蚀率概率量化评估Table 1 Probabilistic assessment of corrosion degree η based on MFL quantification indices
    图1 钢筋局部锈蚀的漏磁特征Fig.1 MFL characteristics of rebar’s local corrosion ［5， 20-23， 43］
    图2 钢筋锈蚀漏磁变幅（归一化漏磁变幅）与锈蚀率的典型线性关系及其线性增长速率Fig.2 Typical linear relationships between MFL variation amplitude（normalized MFL variation amplitude) and corrosion degree and linear growth rates [5,21,22,28-31,34,37,39,44,50,52,57-76]
    图3 漏磁量化处理和钢筋锈蚀率分级评估结果Fig.3 Quantification of MFL and classification of rebar corrosion degree ［75-76］
    图4 基于锈胀裂缝宽度的混凝土锈蚀梁抗弯承载力概率分布估计Fig.4 Probability distribution estimation of flexural capacity of corrooded RC beam based on corrosion crack width ［18］
    图5 应力、疲劳、箍筋/相邻纵筋、锈蚀产物和混凝土对锈蚀钢筋漏磁的影响Fig.5 Effects of stress，fatigue，stirrups/adjacent steel bars，rust products，and concrete on MFL of corroded rebar ［21，28，56-57，84］
    图6 建议的钢筋锈蚀特征漏磁探测评估流程Fig.6 Proposed process for MFL-based detection and assessment of rebar’s corrosion characteristics
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张伟平,邱俊澧,姜超.钢筋混凝土结构锈蚀特征的漏磁探测研究进展[J].建筑材料学报,2024,27(11):1022-1032

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  • 收稿日期:2023-12-10
  • 最后修改日期:2024-03-11
  • 在线发布日期: 2024-12-10
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