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This study explores the sustainable use of red mud, a byproduct of alumina production, as a partial replacement for cement in concrete, highlighting its positive effects on mechanical strength and durability when used in optimal amounts (10%-15%). Machine learning models, particularly the MARS model, were employed to predict the compressive strength of red mud concrete, demonstrating that higher red mud content (>15%) can negatively impact strength and durability. The findings support the integration of ind

Author

josevianny15

Language

EN