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Research Article

Research on nonlinear corrosion law of epoxy coating on steel bridges based on image processing

Yi Zhang, Tian Su

Department of Engineering and Management, International College, Krirk University, Bangkok, Thailand

Keywords

Abstract



Image processing;  

Steel bridge coating; 

Non linearity; 

Corrosion law





This paper adopted the accelerated corrosion test method to study the corrosion law of epoxy coatings on steel bridges. An image processing algorithm based on MATLAB was used to perform grayscale conversion, normalized histogram drawing, and binary image processing on the surface morphology images of coated specimens. Four coated specimens were prepared and placed in the cyclic accelerated corrosion environment. The coated specimens were subjected to the accelerated corrosion test for 90 days, observed changes in coating thickness and corrosion area rate and analyzing the corrosion laws of epoxy coatings in different corrosion environments. Using image processing technology to process images of coating corrosion and analyze the corrosion mechanism of coatings. The research results indicate that the corrosion rate of epoxy coatings exhibits a non-linear corrosion law of slow corrosion in the early stage and accelerated corrosion in the middle and later stages. The corrosion rate of epoxy coatings in saltwater corrosive environments is faster than in freshwater corrosive environments. Based on the corrosion laws and mechanisms of coatings, a nonlinear corrosion function model for epoxy coatings on steel bridges under different accelerated corrosion environment was established, which has a high correlation with experimental data.

© 2024 MIM Research Group. All rights reserved.

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16/12/2024 Our Publication Frequency is Increasing: 

Dear readers,

Thank you for your immense interest and support for our journal. Starting in 2025, we are increasing our annual publication frequency from 4 to 6 issues to bring you even more content! We will continue to share groundbreaking research and innovative ideas with you through our new issues.With your support, we keep growing and evolving. 

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Journal of Research on Engineering Structures and Materials has been accepted for inclusion in the Ei Compendex index. Ei Compendex, formerly known as the Engineering Index, is one of Elsevier's flagship databases, renowned for providing comprehensive and reliable content in the field of engineering dating back to 1884. This inclusion will enhance the visibility of our journal and further support the dissemination of high-quality research.


20/04/2024 Collaboration for HSTD-2024Editorial Board of our journal and Organizing Committee of the III. International Conference on High-Speed Transport Development (HSTD) have agreed to collaborate. Extended versions of the selected papers from the conference will be published in our journal. For more see Events.

20/04/2024 Collaboration for DSL2024-SS1Editorial Board of our journal and Organizing Committee of the DSL2024 Fluid Flow, Energy Transfer & Design (SS1) have agreed to collaborate. Extended versions of the selected papers from the session will be published in our journal. For more see Events. .



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LATEST AWARDS


2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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