Modeling the concrete carbonation depth using a physics-guided CatBoost algorithm
This study aims to develop a physics-informed machine learning framework to improve carbonation depth prediction in reinforced concrete by integrating mechanistic knowledge with data-driven learning. A CatBoost model incorporating ten physics-guided features was trained on a data set expanded to twice the or...