Application of the Stochastic Process to Pitting Corrosion

Pitting corrosion can be considered as a combination of two physical processes: the pit generation process and its depth growth process. Both processes are uncertain and can be modeled by stochastic processes. A model that combines two stochastic processes to describe pitting corrosion was developed. In this model, the pit generation process is represented by the Poisson process, and the pit depth growth process is modeled by the Markov process. The probability distribution of corrosion pit depth and the probability of time-to-failure are derived based upon the combined stochastic processes. Examples of the use of this method in dealing with experimental data also were developed.