Moutaman M. Abbas

Physics-Guided Feature Engineering and Synthetic Data Augmentation for Machine Learning Prediction of Chloride Diffusion in Concrete

A physics-guided machine learning framework that integrates domain-informed feature engineering, conditional synthetic data augmentation, and stacking ensemble learning to predict the chloride diffusion coefficient of concrete from Rapid Chloride Migration (RCM) test data is presented.