Image Processing for Corrosion Quantification in Concrete Slabs using GPR data

Author:

Zaki A,Jusman Y,Johari M A M,Hussin W M A W

Abstract

Abstract This study aims to quantify the corrosion of steel reinforcing bar (rebar) in concrete structures using ground penetrating radar (GPR) and image processing techniques. A method to accelerate corrosion of steel rebars in concrete slab to different level of corrosion is applied. The power supply and the electrolyte are used to induce significant corrosion within a short period of time. The 2 GHz GPR is used to assess the corrosion in the reinforced concrete slab after 28 days of standard moist preservation. GPR method has been found to be useful for quantifying steel corrosion on existing concrete slab. The image processing techniques were used to process the GPR data. The results of the analysis of the GPR data shows that corrosion of the rebars could be detected. The subsequent image processing technique exhibits that corrosion of the rebars could be appropriate quantified.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Corrosion Analysis on Reinforced Concrete using Ultrasonic Pulse Velocity;2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP);2023-12-01

2. Corrosion Analysis on Reinforcing Steel in Concrete Using the Eddy Current Method;2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS);2023-08-09

3. The effect of partial replacement of aggregate on the flexural strength of corroded oil palm shell concrete;TOWARD ADAPTIVE RESEARCH AND TECHNOLOGY DEVELOPMENT FOR FUTURE LIFE;2023

4. The effect of different acceleration corrosion processes on flexural strength of oil palm shell concrete;INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (ICoBE 2021);2023

5. Classification of Corrosion Severity in Concrete Structures Using Ultrasonic Imaging and Linear Discriminant Analysis;Sustainability;2022-11-27

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