Modeling the mechanical properties of lightweight high-strength concrete incorporating supplementary cementitious materials using multi-expression programming and random forest

Puntos clave

• Mechanical properties were accurately predicted using random forest techniques, enhancing structural applications.
• The model demonstrated strong correlation with experimental data, achieving a prediction accuracy of 92%.
• Analysis utilized multi-expression programming to evaluate the influence of various supplementary cementitious materials on concrete performance.
• The findings underscore the importance of advanced modeling techniques in optimizing material properties for construction.