A novel correlation study using Pearson and Spearman algorithms for mineral component-driven strength analysis of geopolymer

zThis study presents a statistical analysis of the relationship between mineralogical properties and mechanical strength parameters between different constituents.Important properties such as compressive and flexural strength are analyzed on sample materials.Two different correlation methods, namely Pearson Correlation Coefficient and Spearman Correlation Coefficient, were used to evaluate the relationship between mineralogical constituents and strength parameters.The results obtained revealed that some mineral constituents showed a significant positive or negative correlation with mechanical strength properties.In particular, lime (CaO) exhibited an excellent positive linear relationship with compressive strength.Similarly, a strong positive monotonic relationship was found between silica (SiO2) content and flexural strength.The statistical analyses provide an important tool in understanding the influence of mineral constituents on mechanical strength properties.The results of this study provide a valuable guide to understand the role of mineralogical constituents in construction material selection and structural design. Bu alma, farkl bileenler arasndaki mineralojik zellikler ve mekanik dayanm parametreleri arasndaki ilikinin istatistiksel bir analizini sunmaktadr. Basn dayanm ve eilme dayanm gibi nemli dayanm zellikleri rnek malzemeler zerinde analiz edilmitir. Mineralojik bileenler ve mukavemet parametreleri arasndaki ilikiyi deerlendirmek iin