Research on Prediction of Carbon Steel in SO₂ Atmospheric Corrosion Using Grey Model

Abstract:

The rate of carbon steel in SO₂ Atmospheric Corrosion was modeled by grey model GM (1, 1). The accuracy and rationality of prediction model have been evaluated. The result indicated that the model had a better fitting accuracy. By comparing the calculated values with a predicted atmospheric corrosion rate of carbon steel after 264h, it showed that its relative error has been just 0.5619% which had higher forecast reliability.

• Periodical: Applied Mechanics and Materials (Volume 507)
• Pages: 258-262
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.507.258
• Online since: January 2014
• Authors: Ping Wang, Zhao Hui Yin, Han Tao Ren, Song Xu
• Keywords: Atmospheric Corrosion, GM(1,1), Grey Model, Prediction

References

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