Main Factors Affecting Mechanical Characteristics of Silicon Carbide Sludge-Based Geopolymer Revealed by Experimental Design and Associated Statistical Analysis

In recent years, many researches have been analyzed on the subject of geopolymer materials. As far as we know, the design of experiments (DOE) methods had not been used for the analysis of geopolymer containing silicon carbide sludge (SCS) waste and metakaolin components. This study was used to quantify the effects the interaction between the constituent factors and macroscopic / microstructure properties of SCS-based geopolymers (SCSGPs), by the DOE methods. Compares the correlation between the factor parameters and physical properties, which were analyzed the microstructure analysis of SCSGPs. The results of statistical analysis showed that the influencing factors of compressive strength of SCSGPs were mainly Na / Si mole ratio (NSR), Na / Al mole ratio (NAR), followed by dissolution rate of Al (DRA). In the regression curve analysis results, when the SCS replacement levels of 20%, the coefficient of b was the most influential, because the synergistic effect between metakaolin (MK) and SCS. In this study, the multivariate adaptive regression splines model provided a valid reference for the application of and future improvements in SCSGPs.