Integrating Experimental Durability Assessment and Explainable Artificial Intelligence for Sustainable UHPC in Smart Construction Applications

Digitalisation and explainable artificial intelligence (XAI) will reshape sustainable materials engineering by enabling data-driven design and performance prediction for smart infrastructure. In this study, experimental durability assessment and machine learning techniques were combined to investigate silica fume (SF) and ground granulated blast-furnace slag (GGBFS)-based UHPC subjected to normal curing (NC), steam curing (SC), and wrapped curing (WC). Mechanical, durability, and mineralogical characterisation tests were performed, including compressive strength, the Rapid Chloride Penetration