Explainable Machine Learning for Punching Shear and Post-Failure Integrity
A mechanics-informed machine-learning workflow is developed using 1068 quality-controlled specimens from 111 literature sources that supports validation-aware research screening within the represented domain while emphasizing source separation and configuration-specific applicability.