Strain-Based Quantitative Inversion of Localized Corrosion Defects in Storage Tanks Using Finite Element-Driven Machine Learning
Wall thinning caused by corrosion changes the circumferential strain response of storage tanks, but nonlinear coupling among structural parameters, loading conditions, strain characteristics, and defect geometry makes direct inversion difficult. This paper develops a strain-based, finite element (FE)-based machine lear...