Integrated mathematical criterion and forecast for concrete performance with AI tools

This study presents an integrated mathematical criterion for predicting the compressive strength of ultrahigh- performance concrete (UHPC). As the demand for advanced concrete materials increases, understanding the factors influencing their mechanical properties becomes critical. The proposed model synthesizes various parameters, including material composition, curing conditions, and environmental factors, to develop a robust predictive framework. Through extensive experimental validation, the model demonstrates high accuracy in estimating compressive strength, thereby providing a valuable tool for engineers and researchers in optimizing UHPC formulations. This research contributes to the advancement of sustainable construction practices by facilitating the design of high-performance concrete structures with enhanced durability and strength.