Development and application of a novel low-cost capacitive sensor for accurate rebar position detection

被引:15
作者
Cheng, Yu [1 ]
Diao, Su [2 ]
Hanif, Asad [3 ]
Parthasarathy, Pavithra [3 ]
Li, Zongjin [3 ]
机构
[1] Hong Kong Univ Sci & Technol HKUST, Dept Civil & Environm Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[2] Shandong Jianzhu Univ, Sch Civil Engn, Fengming Rd, Jinan 250101, Shandong, Peoples R China
[3] Univ Macau, Inst Appl Phys & Mat Engn, Ave Univ, Taipa, Macau, Peoples R China
关键词
Capacitive sensor; Nondestructive testing; Concrete; Rebar position determination; Health monitoring; CONCRETE; HYDRATION;
D O I
10.1016/j.conbuildmat.2020.119506
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A novel effective while low-cost capacitive transducer (CT), which can precisely measure rebar size and reinforcement position in both x-axis and y-axis under concrete cover using capacitance signals, is originally developed. In this paper, numerical simulations and experiments have been carried out to verify the effectiveness of the developed capacitive sensor. In the numerical simulations, electrostatic field distribution has been built and FEM method is adopted to compute the theoretical capacitance outputs during the rebar position testing, in which two kinds of capacitance measuring methods are compared. The same-face electrodes capacitance sensing method is proved to have better performance of rebar position prediction in both x-axis and y-axis directions than the face-to-face electrodes capacitance sensing method. To verify the effectiveness of the developed capacitive sensor in the real onsite scenario, experiments have also been conducted for the rebar position testing in the reinforced concrete. Both simulations and experimental results have shown that the developed CT with innovative capacitance measuring method has great accuracy in predicting the rebar size and position, which is the foundation of the future reinforcement corrosion detection. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 31 条
[21]  
Selleck SF, 1998, ACI MATER J, V95, P27
[22]  
Sohn H., 2014, BIOINSPIR BIOMIM, V9055, P90550, DOI [10.1117/12.2049214, DOI 10.1117/12.2049214]
[23]   Corrosion monitoring of reinforced concrete structures - A review [J].
Song, Ha-Won ;
Saraswathy, Velu .
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2007, 2 (01) :1-28
[24]  
Utsi V, 2004, PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR, VOLS 1 AND 2, P659
[25]   Electrical capacitance tomography to monitor unsaturated moisture ingress in cement-based materials [J].
Voss, Antti ;
Pour-Ghaz, Mohammad ;
Vauhkonen, Marko ;
Seppanen, Aku .
CEMENT AND CONCRETE RESEARCH, 2016, 89 :158-167
[26]   Non-destructive evaluation of concrete using a capacitive imaging technique: Preliminary modelling and experiments [J].
Yin, X. ;
Hutchins, D. A. ;
Diamond, G. G. ;
Purnell, P. .
CEMENT AND CONCRETE RESEARCH, 2010, 40 (12) :1734-1743
[27]   Further Capacitive Imaging Experiments Using Modified Probes [J].
Yin, Xiaokang ;
Li, Zhen ;
Yan, An ;
Li, Wei ;
Chen, Guoming ;
Hutchins, David. A. .
42ND ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 6TH EUROPEAN-AMERICAN WORKSHOP ON RELIABILITY OF NDE, 2016, 1706
[28]  
Yuan H.L. Ying-shu, 2003, INT C ICACS 2003 ADV, P1592
[29]   Extracting dimensional information from steel reinforcing bars in concrete using neural networks trained on data from an inductive sensor [J].
Zaid, M ;
Gaydecki, P ;
Quek, S ;
Miller, G ;
Fernandes, B .
NDT & E INTERNATIONAL, 2004, 37 (07) :551-558
[30]   Progressive structural capacity loss assessment-A framework for modern reinforced concrete buildings [J].
Zain, Muhammad ;
Usman, Muhammad ;
Farooq, Syed H. ;
Hanif, Asad .
PLOS ONE, 2018, 13 (12)