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Image Processing for Corrosion Quantification in Concrete Slabs using GPR data
Ahmad Zaki (1), Yessi Jusman (1), Megat Azmi Megat Johari (2), Wan Muhd Aminuddin Wan Hussin (2)

(1) Universitas Muhammadiyah Yogyakarta, Indonesia
(2) Universiti Sains Malaysia, Malaysia


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.

Keywords: Corrosion, concrete, GPR, image processing

Topic: International Symposium of Engineering, Technology, and Health Sciences


Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Yessi Jusman)

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