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There have been numerous past attempts to develop models to predict atmospheric corrosion rates. Such models, which are often called “Damage Functions” or “Dose-Response Functions” were often constructed using statistical regression techniques or by using “power-law” approaches. They were calibrated by statistically comparing corrosion test results to predictions based upon environmental characterization measurements such as long-term (e.g., annual) deposition measurements of chloride aerosols and/or SO2. Relative humidity, if explicitly considered, was only used to define the amount of time during the year when conditions were favorable for corrosion. Most models ignored temperature effects but those that do only consider annual averages.

Predicting Atmospheric Corrosion Rates for 1010 Steel Using a Cumulative Damage Approach