Abstract
In order to provide boundary conditions for the numerical modeling of cathodic protection, a phenomenological model of the electrochemistry of steel in solutions or varying pH and pCl has been developed. Polarization curves have been measured for a range of solutions, and the results have been used to train neural networks to provide a predictor of the current density as a function of pH, pCl and applied potential. The resultant models produce predicted polarization curves that are reasonably similar to the measured curves, although interpolated curves tend to have rather unrealistic fluctuations in current density as a function of applied potential.
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2004
Association for Materials Protection and Performance (AMPP)
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