Unraveling the Synergistic Effects of Fibers and Recycled Aggregates in Concrete Using Ensemble Machine-Learning Approach
Machine learning is often used to predict concrete properties, but its ability to derive fundamental insights for mix design remains underexplored. This study leverages ensemble methods to predict the split tensile strength (STS) of fiber-reinforced recycled aggregate concrete. The primary novelty of this work lies...