Tan N. Nguyen

Dynamics of Compressive Performance in Textile-Reinforced Concrete: A Machine-Learning Approach for Failure Mode and Strength Prediction

A computational failure framework that incorporates decision tree classification and machine-learning modeling to identify failure modes in textile-reinforced concrete columns and predict their strength provides practical tools for forensic investigation and reliability-based design of fiber-reinforced confinement systems.