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

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

• Data mining
• Pearson algorithm
• Geopolymer
• Correlation analysis
• Compressive analysis

Geopolimerin mineral bileşen odaklı dayanım analizi için pearson ve spearman algoritmaları kullanılarak yapılan bir korelasyon çalışması

Öz

Bu çalışma, farklı bileşenler arasındaki mineralojik özellikler ve mekanik dayanım parametreleri arasındaki ilişkinin istatistiksel bir analizini sunmaktadır. Basınç dayanımı ve eğilme dayanımı gibi önemli dayanım özellikleri örnek malzemeler üzerinde analiz edilmiştir. Mineralojik bileşenler ve mukavemet parametreleri arasındaki ilişkiyi değerlendirmek için Pearson Korelasyon Katsayısı ve Spearman Korelasyon Katsayısı olmak üzere iki farklı korelasyon yöntemi kullanılmıştır. Elde edilen sonuçlar, bazı mineral bileşenlerin mekanik dayanım özellikleri ile anlamlı pozitif veya negatif korelasyon gösterdiğini ortaya koymuştur. Özellikle, kireç (CaO) basınç dayanımı ile mükemmel bir pozitif doğrusal ilişki sergilemiştir. Benzer şekilde, silika (SiO2) içeriği ile eğilme dayanımı arasında güçlü bir pozitif monotonik ilişki bulunmuştur. İstatistiksel analizler, mineral bileşenlerin mekanik mukavemet özellikleri üzerindeki etkisinin anlaşılmasında önemli bir araç sağlamaktadır. Bu çalışmanın sonuçları, mineralojik bileşenlerin yapı malzemesi seçimi ve yapısal tasarımdaki rolünü anlamak için değerli bir rehber sağlamaktadır.

Anahtar Kelimeler

• Veri madenciliği
• Pearson algoritma
• Geopolimer
• Korelasyon analiz
• Basınç dayanımı

Kaynakça

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