Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete
Accurate estimation of bond strength between steel reinforcement and geopolymer concrete is essential for the reliable design of sustainable reinforced concrete structures. However, the highly nonlinear interactions reduce the applicability and accuracy of conventional empirical models. This study proposes a Bayesian-o...