Shimin Ding

Interpretable machine learning for predicting shear capacity of ultra-high-performance concrete beams

A unified ML-based shear strength prediction model was developed that simultaneously captures the shear behaviour of both NC and UHPC beams, incorporating physically meaningful input features derived from the data set, thereby overcoming the limitations of separate empirical formulations.