KİMYASAL BİLEŞİMLERİ YARDIMIYLA GERÇEK MERMERLERİN AŞINMA DİRENCİ KESTİRİMİ: YENİ BİR YAKLAŞIM

Öz

Doğal taşlar, inşaat mühendisliği ve mimari projelerde yaygın olarak kullanılan yapı malzemeleridir. Yer Döşemesi projelerinde kullanılacak olan doğal taşların yüzey aşınma değerlerinin belirlenmesi büyük önem taşımaktadır. Bu mekanik özellik standart laboratuvar deneyleri yardımıyla belirlenmektedir. Bununla birlikte, son yıllarda, yüzey aşınma direnci değerlerinin kayaçların fiziksel, mekanik ve mineralojik özellikleri yardımıyla dolaylı olarak kestirilmesine yönelik çok sayıda çalışma yapılmıştır. Bu çalışmada, yeni bir yaklaşım olarak, gerçek mermerlerin Geniş Disk Aşınma (GDA) ve Böhme Aşınma (BA) değerlerinin kimyasal bileşimleri yardımıyla kestirilebilirliği araştırılmıştır. Çoklu doğrusal regresyon analizleri uygulanarak, istatistiksel olarak anlamlı ve yüksek kestirim doğruluğuna sahip (p ≤ 0.05; R2 ═ 0.98­0.99) modeller elde edilmiştir. Bu modellerde MgO, SiO2, CaO, ve (CaO/SiO2) oranı en anlamlı kestirim değişkenleri olarak belirlenmiştir. Geliştirilen modeller, diğer mermer türleri üzerinde yapılacak benzer çalışmalardan elde edilen verilerle güncellenebilir.

Anahtar Kelimeler

• Yapı malzemesi
• Mermer
• Döşeme kaplaması
• Aşınma dayanımı
• Geniş disk aşınma
• Böhme aşınma
• Kimyasal bileşim

ABRASION RESISTANCE PREDICTION OF TRUE MARBLES USING CHEMICAL COMPOSITION DATA: A NEW APPROACH

Öz

Natural stones are the widely used building materials in civil engineering and architectural projects. Surface abrasion resistance determination of natural stones is one of the important issues considered in flooring projects. This mechanical property is determined by performing standardized laboratory tests. In recent years, however, there has been considerable interest in its determination by means of indirect methods using the physical, mechanical, and mineralogical properties of stone materials. As a new approach, the present work was undertaken to investigate the potential usability of chemical compositions of true marbles as a guide to predict their Wide Wheel Abrasion (WWA) and Böhme Abrasion (BA) test values. By performing multiple linear regression analyses, statistically significant regression models with high prediction accuracies were derived (p-values < 0.05; R2 ═ 0.98­0.99). In the established prediction models MgO, SiO2, CaO, and (CaO/SiO2) ratio were determined as the most significant predictor variables. These models may be updated by inclusion of data from further studies on other types of marbles.

Anahtar Kelimeler

• Construction material
• Marble
• Floor covering
• Abrasion resistance
• Wide Wheel Abrasion
• Böhme Abrasion
• Chemical composition

Kaynakça

1. Almasi, SN., Bagherpour, R., Khademian, A. 2017. Influence of Chemical Impurities of Rocks on Cutting Efficiency and Wire Specific Consumption in Travertine Quarries. 25th International Mining Congress and Exhibition of Turkey. Antalya, Turkey, 493-499.
2. Bayram, F. 2020. Data mining techniques for the prediction of Bohme surface abrasion rates from rock properties. J Test Eval 48, no.1, 323-332
3. Çelik, SB., Çobanoğlu, İ. 2022. Modelling and estimation of Wide Wheel Abrasion values of building stones by multivariate regression and artificial neural network analyses. J Build Eng 45, 103443.
4. Çobanoğlu, İ., Çelik, SB. 2017. Assessments on the usability of Wide Wheel (Capon) test as reference abrasion test method for building stones. Constr Build Mater 151, 319-330.
5. Deliormanlı, AH. 2012. Cerchar Abrasivity Index (CAI) and its relation to strength and abrasion test methods for marble stones. Constr Build Mater 30, 16-21.
6. EN 14157. 2004, 2017. Natural stone-determination of the abrasion resistance. European Committee for the Standardization.
7. Grant, WT., Papertzian, VC., Kingston, PW. 1989. Geochemistry of Grenville marble in southeastern Ontario; Ontario Geological Survey, Mineral Deposits Circular 28, 266 p.
8. Güneş Yılmaz, N., Karaca, Z., Goktan, RM. 2011. Abrasion resistance prediction of Turkish hard building and decorative stones using physico-mechanical properties. In: Medved M., Vulic, M. editors. Proceedings of the 4th Balkan Mining Congress, Ljubljana, Slovenia. pp. 583-588

9. Güneş, AN., Gündüz, V., Altındağ, R. 2010. The effects of total SiO2 and total CaO elements content of marbles on the sawability performance (In Turkish). Süleyman Demirel University Journal of Natural and Applied Sciences. 14-2, 187-193.
10. Iphar, M., Goktan, RM. 2006. Prediction of abrasion resistance of marbles using adaptive neuro-fuzzy inference system (ANFIS). Proceedings of the Turkish 5th Marble and Natural Stone Symposium, 2-3 March 2006, Afyonkarahisar, Turkey (In Turkish), 171-182.
11. Karaca, Z. 2010. Water absorption and dehydration of natural stones versus time. Constr Build Mater 24, 786-790.
12. Karaca, Z., Günes Yılmaz, N., Goktan, RM. 2012. Considerations on the European Standard EN 14157 test methods: Abrasion resistance of natural stones used for flooring in buildings. Rock Mech Rock Eng 45, 103-111.
13. Kılıç, A., Teymen, A. 2008. Determination of mechanical properties of rocks using simple methods. Bull Eng Geol Environ 67, 237-244.
14. Madukwe, H., Obasi, R. 2016. Geochemical and petrogenetic characteristics of the marble deposit at Ikpeshi southern Nigeria. Nat Sci 14(9), 1-11.
15. Marini, P., Bellopede, R., Perino, L., Regibus, CD. 2011. Optimisation of an abrasion resistance test method on natural stones. Bull Eng Geol Environ 70, 133-138.
16. Marradi, A., Secchiari, L., Lezzerini, M. 2008. The qualification of materials for their application in road stone pavements. In: Proceedings of the second international congress on dimension stones. Carrara, Italy, pp 225-235.
17. Mason, R. 1990. Petrology of Metamorphic rocks (2nd Edn.). Unwin Hyman Ltd, London, 230 pp.
18. Mohammed, AAA., Fener, M., Comaklı, R., İnce, İ., Balcı, MC., Kayabalı, K. 2021. Investigation of the relationship between basic physical and mechanical properties and abrasion wear resistance of several natural building stones used in Turkey. J Build Eng 42, 103084.
19. Özvan, A., Direk, N. 2021. The relationship among different abrasion tests on deteriorated and undeteriorated rock. Bull Eng Geol Environ 80, 1745-1756.
20. Sidorko, VI., Peglovskii, VV., Lyakhov, VN. 2008. The effect of silicon dioxide content of natural Stones on their strength properties, material removal rate and power consumption in diamond grinding. Journal of Superhard Materials. 30, 414-419.
21. Storey, CC., Vos, MA. 1981. Industrial minerals of the Pembroke-Renfrew area, Part 1: Marble; Ontario Geological Survey, Mineral Deposits Circular 21, 132 p.
22. Strzalkowski, P., Köken, E. 2022. Assessment of Böhme abrasion value of natural stones through artificial neural networks (ANN). Materials (Basel) 15 (7): 2533.
23. Technical Foundation Centre for Galician Granite. Guide for the design, construction and maintenance of natural stone for internal paving. 1st Edition (2013), Ideaspropias Editorial, Vigo.http://www.fctgranito.es/en/pdf/cap_prueba_pav_interiores_en.pdf. Last accessed 15 February 2023.
24. Yavuz, H., Ugur, I., Demirdag, S. 2008. Abrasion resistance of carbonate rocks used in dimension stone industry and correlations between abrasion and rock properties. Int J Rock Mech Min Sci 45, 260-267.
25. Yılmaz, N., Goktan, RM., Onargan, T. 2017. Correlative relations between three-body abrasion wear resistance and petrographic properties of selected granites used as floor coverings. Wear 372-373, 197-207.