Regression Analysis of OPC-MK-RM-Based Ternary-Blended Concrete Based on Its Experimental Results

The performance and strength needs are not adequately satisfied by the advancement in concrete technology as well as the development of new materials and components. Part replacement of cement by mineral admixtures in concrete overcomes many problems and leads to improvement in the strength as well as durability of concrete. This paper deals with the regression analysis of various experimental results on compressive strength of Ordinary Portland Cement (OPC)-Metakaolin (MK)-Red Mud (RM)-based ternary-blended concrete with different water-binder ratios (w/b) 0.40, 0.38, 0.36, and 0.33. For all w/b ratios, the compressive strength was determined at different days of curing. In all the w/b ratios the regression analysis using SPSS software and the regression curve had been carried out by replacing 0–14% of the mass of OPC with MK and RM separately and a combination of MK:RM of different proportions of 50:50, 60:40, 70:30, and 80:20. The analysis was also done using neural network. From the experimental results the strength activity index was high in 8% replacement of OPC by MK and 4% by RM whereas in the combination of MK:RM at 10% for the proportion 80:20 shows the highest strength activity index.