BETONUN BASINÇ MUKAVEMETİNİN TAZE BETON ÖZELLİKLERİNDEN TAHMİNİ İÇİN ANFIS MODELİ

Abstract

Betonun sertleşme süreci geri dönüştürülemezdir ve taze beton özellikleri hem sertleşme sürecini hem de sertleşmiş özelliklerini doğrudan etkilemektedir. Betonun basınç mukavemeti eğilme, çekme, elastisitesi ve durabilitesi gibi birçok özellikleri ile yakından ilişkili olduğu için en önemli özelliklerinden biridir. Bu çalışmada beton bileşenlerinin kısmi hacim oranları ve akış özelliklerinden betonun basınç mukavemetinin tahmini için Adaptif Ağ Tabanlı Bulanık Çıkarım Sistemi (ANFIS) kullanılarak model geliştirilmiştir. Modellerden en düşük determinasyon katsayısı yalnızca akış özelliklerinin girdi olarak kullanıldığı modelden (R2= 0.369) elde edilmişken yalnızca kısmi hacim oranlarının girdi olarak kullanıldığı modelden (R2= 0.673) akış özelliklerine göre daha yüksek elde edilmiştir. En yüksek determinasyon katsayısı ise her iki değişkenin girdi olarak kullanıldığı modelden (R2= 0.961) elde edilmiştir. Kısmi hacim oranı ve akış özellikleri kullanılarak betonun basınç mukavemetini belirlemek için ANFIS yönteminin alternatif bir metot olarak kullanılabileceği sonucuna varılmıştır.

Keywords

• betonun basınç mukavemeti, akış özellikleri, ANFIS modelleme

ANFIS MODEL FOR THE PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE FOR FRESH CONCRETE PROPERTIES

Abstract

The hardening process of concrete is irreversible, and properties of fresh concrete directly affect the hardening process and afterwards its hardened properties. Compressive strength is one of the most important mechanical properties of hardened concrete because it is related to other properties or performance of concrete such as bending, tensile, elasticity and durability. In this study, the ANFIS models were developed to estimate the concrete compressive strength from partial-volume ratio of concrete components and flow properties. While lowest coefficient of determination is obtained (R2= 0.369) from modeling using of only flow properties as input parameters, modeling using of only partial-volume ratio of concrete components as input parameters is higher (R2= 0.673) than modeling of flow properties. However, the best results (R2= 0.961) is obtained from modeling using both variables as input parameters. As a result suggest that ANFIS can be used as an alternative approach to estimate compressive strength when it is used together partial-volume ratio of concrete components with flow properties as input parameters.

Keywords

• compressive strength of concrete, flow properties, ANFIS modeling

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