The Methods of Corrosion Prediction for Materials in Natural Environment and their Applications

Abstract:

It is of great significance for corrosion prediction to avoid sudden accident, reduce casualties and environmental damage. This paper introduces the basic methods of corrosion prediction for the materials in natural environment. Firstly, statistical methods of corrosion prediction, including the linear extrapolation prediction method based on the function model and the extrapolation prediction method based on the related model, are showed. Then, some modern and mathematic methods for the corrosion prediction, such as grey forecasting method, prediction method of neural network, prediction method of pattern recognition, have been expounded. Finally, the typical applications in natural environment of those methods have been summarized.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 51-56
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.51
• Online since: May 2014
• Authors: Ai Ai Zhang*, Wei Fang Zhang, Yu Long Zhang, Tian Jiao Liu
• Keywords: Corrosion Prediction, Material, Method, Natural Environment

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