There are obvious differences in the corrosion process of materials in different climatic regions, and it is of great significance to establish the corrosion process model considering the effects of environmental factors to improve environmental adaptability. However, many existing models do not take comprehensive environmental factors into account, and the selection of environmental factors in these corrosion models is not sufficiently investigated. Meanwhile, the comparison of models is also based on goodness-of-fit. In order to improve the atmospheric corrosion prediction model and use an improved method to judge the suitable model instead of traditional goodness-of-fit, this paper first studies the effects of various atmospheric environment factors on corrosion loss. Then a corrosion prediction model considering the influence of various atmospheric environment factors is proposed, and the fitting effect is compared with the previous model with experimental data. Considering that the best fitting cannot guarantee the best prediction, a new criterion of model selection is also proposed for corrosion model confirmation. Corrosion prediction results reveal that the proposed model is more effective than the existing models. Finally, the influence of the environmental factors on the model output is discussed by sensitivity analysis.
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1 November 2021
Research Article|
August 15 2021
An Improved Atmospheric Corrosion Prediction Model Considering Various Environmental Factors
Zi-Guang Ji;
Zi-Guang Ji
*School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, China 100191.
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Xiao-Bing Ma;
Xiao-Bing Ma
*School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, China 100191.
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Kun Zhou;
Kun Zhou
**Southwest Institute of Technology and Engineering, Chongqing, China 400039.
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Yi-Kun Cai
Yi-Kun Cai
‡
***School of Aeronautic Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, China 100191.
‡Corresponding author. E-mail: [email protected].
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CORROSION (2021) 77 (11): 1178–1191.
Citation
Zi-Guang Ji, Xiao-Bing Ma, Kun Zhou, Yi-Kun Cai; An Improved Atmospheric Corrosion Prediction Model Considering Various Environmental Factors. CORROSION 1 November 2021; 77 (11): 1178–1191. doi: https://doi.org/10.5006/3879
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