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

Authors : Yıldıran Yılmaz, Talip Çakmak, Zafer Kurt, İlker Ustabaş

Pages : 409-416

View : 21 | Download : 17

Publication Date : 2025-06-30

Article Type : Research Paper

Abstract :This 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.
Keywords : Veri madenciliği, Pearson algoritma, Geopolimer, Korelasyon analiz, Basınç dayanımı

ORIGINAL ARTICLE URL