Influence of Fly Ash, Alccofine, Alkaline Molarity, Curing Duration and Machine Learning Predictions on Geopolymer Concrete

This study explores the impact of varying fly ash content, alkaline solution molarity, and curing duration on the mechanical properties, workability, and durability of geopolymer concrete (GPC). Novel aspects include the systematic evaluation of molarity levels (8M, 12M, and 16M), integration of Alccofine as a supplementary material, and a predictive modeling approach using Decision Tree regression. Experimental results reveal that higher fly ash content (325–400 kg/m³) enhances workability, compressive strength, split tensile strength, and flexural strength. Increased molarity and extended curing durations further improve these properties, with 16M and 28 days achieving the best performance. Stress-strain analysis demonstrates the elastic behavior and material softening post-peak stress, while water absorption results show reduced porosity with increased fly ash content, highlighting improved density and durability. Predictive modeling achieved high accuracy (R² = 0.98), validating the relationship between input variables and compressive strength. This study underscores the potential of optimizing fly ash content, molarity, and curing conditions to produce sustainable, high-performance geopolymer concrete, offering a viable alternative to conventional cement-based materials.