Modeling of the Propagation of Pitting Corrosion by Point Processes

We performed a series of experiments aimed at the investigation of the propagation of pitting corrosion in stainless steels. A collection of fragments of the surface damaged by pitting corrosion was obtained with the help of the anode polarization of samples of materials in chlorine-containing media. For the analysis of their images, we used statistical modeling performed with the help of point processes. To model the mutual influence of pitting defects, we used Markov processes with pairwise interaction. It is shown that the characteristics of stochastic processes can be used for the determination of the correlation between pits.