Predictive modeling for developing eco-friendly HPC with efficient uses of cement and mineral additions
摘要
This article focuses on an environmentally friendly high-performance concrete (HPC) that efficiently uses cement and mineral additions. Using a three-factor experimental design, the impacts of substituting cement (PC) with marble dust or powder (MP) and granulated ground blast furnace slag (GGBFS) on the workability and hardened qualities of HPC are analyzed. 15 different mixes were synthesized. Data modeling was performed out with the help of the statistical program Design-Expert 13. Analysis proved successful, allowing the identification of mathematical models representative of the experimental findings. With R2 values ranging from 0.76 to 0.95, models performed well in analysis of variance (ANOVA) for predicting all HPC characteristics examined. Findings show that GGBFS significantly enhances the workability. However, mixtures M6 (0.25PC + 0.75MP), M10 (0.5PC + 0.5MP) and M13 (0.75PC + 0.25MP) show maximum compressive strength (CS) after a week. After 28 days, mixes with the highest CS were M12 (0.5PC + 0.5GGBFS), M14 (0.75PC + 0.25GGBFS) and M15 (100%PC). The porosity (P) is also reduced in combinations M9 (0.25PC + 0.75GGBFS), M12, M14 and M15. The formulation M14 is ideal since it gives a better balance of attributes studied; M4 and reference M15 are almost identical in terms of characteristics, allowing for a reduced quantity of cement to be employed. Predicted values were validated experimentally and through optimization with an error margin of less than 2%, thereby proving that GGBFS and MP are feasible environmentally friendly building materials. Obtained findings provide important insights into the effective use of GGBFS and MP in cost-effective and eco-friendly HPC design.