Deterministic Prediction of Pit Depth Distribution

In this paper, the deterministic prediction of damage via damage function analysis (DFA), which provides a robust technology for estimating the damage function at future times, is described. General analytical expressions for calculating the damage functions that can be used with arbitrary dependencies of pit nucleation rate, pit growth rate, and repassivation rate on the system parameters have been obtained. The application of DFA to prediction of pitting damage is illustrated by reference to the pitting corrosion of iron in neutral chloride-containing solutions.