Hilal Meydanlı Atalay

Source-Study-Aware Validation and Explainable Machine Learning for Reliable Shear Capacity Assessment of Steel-Fiber-Reinforced Concrete Corbels

This study proposes a source-study-aware validation framework to estimate the shear capacity of stirrup-free steel-fiber-reinforced concrete corbels and assess the reliability and generalizability of machine-learning models in structural engineering. A database of 108 specimens,...