Comprehensive Empirical Equation for Assessing Atmospheric Corrosion Progression of Steel Considering Environmental Parameters
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Atmospheric corrosion is a natural surface degradation process of metal due to changes in environmentalparameters in the surrounding atmosphere. It is very sensitive to environmental parameters such as temperature,relative humidity, sulphur dioxide, and chloride, making it a major global economic challenge. Existingforecasting empirical corrosion models including the ISO standard are based on statistical analysis of experimentalstudies without considering the behavior of atmospheric parameters. The present study proposes a reliableglobal empirical model for estimating short and long-term atmospheric corrosion rates based on environmentalparameters and corrosion mechanisms obtained from a parametric study. Repercussion of atmospheric corrosionrate due to individual and combined influences of environmental parameters specifies their importance inthe estimation. New global empirical coefficients obtained for environmental parameters are statisticallyestablished (R2 =0.998) with 95% confidence limit. They are validated using experimental datasets of existingstudies observed at 88 different continental locations. The current proposed model can predict atmosphericcorrosion by means of corrosion formation mechanisms influenced by combined effects of environmentalparameters, further abating applicability limitations of location and time.
Abstract
Atmospheric corrosion is a natural surface degradation process of metal due to changes in environmentalparameters in the surrounding atmosphere. It is very sensitive to environmental parameters such as temperature,relative humidity, sulphur dioxide, and chloride, making it a major global economic challenge. Existingforecasting empirical corrosion models including the ISO standard are based on statistical analysis of experimentalstudies without considering the behavior of atmospheric parameters. The present study proposes a reliableglobal empirical model for estimating short and long-term atmospheric corrosion rates based on environmentalparameters and corrosion mechanisms obtained from a parametric study. Repercussion of atmospheric corrosionrate due to individual and combined influences of environmental parameters specifies their importance inthe estimation. New global empirical coefficients obtained for environmental parameters are statisticallyestablished (R2 =0.998) with 95% confidence limit. They are validated using experimental datasets of existingstudies observed at 88 different continental locations. The current proposed model can predict atmosphericcorrosion by means of corrosion formation mechanisms influenced by combined effects of environmentalparameters, further abating applicability limitations of location and time.
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