Machine learning-based prediction of compressive strength and slump in high-performance concrete - Zhang, Ruikun; Meng, Chenyu (Multiscale and Multidisciplinary Modeling, Experiments and Design, 2025)
Keywords: Algorithms; Cement; Characterization and Evaluation of Materials; Compressive strength; Concrete mixes; Concrete mixing; Concrete properties; Concrete structures; Construction industry; Engineering; Fire resistance; Machine learning; Mathematical Applications in the Physical Sciences; Mechanical Engineering; Numerical and Computational Physics; Optimization; Original Paper; Reinforced concrete; Search algorithms; Service life; Simulation; Soft computing; Solid Mechanics; Support vector machines; CS; XGBR; Population-Based Vortex Search Algorithm; Slump; Honey Badger Algorithm; High-performance concrete; Escaping Bird Search for Constrained Optimization