Data-Science Analysis of the Macro-scale Features Governing the Corrosion to Crack Transition in AA7050-T7451

Accelerating FEM-Based Corrosion Predictions Using Machine Learning

“…17,18 Previous work has demonstrated the validity of ML-based methods for corrosion. [19][20][21][22][23] For example, Pei et al 23 and Zhi et al 22 demonstrated how random forest models 24 can be successfully leveraged to predict the atmospheric corrosion of steel given different environmental values. Additionally, Sasidhar et al 21 showcased the viability of ML based surrogate models to accurately predict corrosion quantities of interest.…”