Xumei Lin , Peng Wang , Xiaofeng Han , Penggang Wang , Shiyuan Wang , Chenglong Yin
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引用次数: 0
Abstract
The detection of steel bar corrosion in reinforced concrete is of great significance to ensure the safe operation of buildings and improve structural durability. To further improve the accuracy of steel bar corrosion detection and achieve quantitative detection of the degree of corrosion, this study proposes a new method for detecting steel bar corrosion by using capacitive sensor. A parallel plate capacitor system formed by the measuring electrode and the steel bar inside concrete is designed. The study established a mathematical model of the parallel plate capacitor system under uniform corrosion conditions. The relationship between capacitance and corrosion depth is described quantitatively. The simulation results based on the mathematical model are consistent with those of the finite element analysis. This numerical simulation approach solves the limitation of finite element software in accurately quantifying the depth of steel bar corrosion. Through accelerated corrosion tests, a formula for the capacitance value and steel bar corrosion depth is established for non-uniform corrosion. Accelerated corrosion tests indicate that this method is more sensitive than traditional capacitance detection methods, and it is expected to realize the quantitative detection of steel bar corrosion in engineering.
期刊介绍:
Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas:
• Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results.
• Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon.
• Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays.
• Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers.
Etc...