Farklı Puzolanlarla Üretilmiş Çimentoların Dayanım Gelişiminin Yapay Sinir Ağlarıyla Tahmini

Year 2009, Volume: 22 Issue: 3, 113 - 122, 31.12.2009

İlker Bekir Topçu , Cenk Karakurt , Mustafa Sarıdemir

Abstract

Bu çalışma, çimento üretiminde kullanılan mineral katkılarda en uygun kullanım oranının belirlenmesi için yapılmıştır. Laboratuvarda farklı kaynaklardan sağlanan doğal zeolit, tras, volkanik tüf, uçucu kül ve yüksek fırın cürufu katkıları, çimento üretiminde klinker yerine %10, 20, 30, 35, 40 ve 45 oranlarında kullanılmıştır. Çimentolar üzerinde yapılan 2, 7, 28 ve 180 günlük basınç dayanımı deneyleriyle dayanım gelişimi belirlenmiştir. Daha sonra deneysel çalışmadan elde edilen veriler kullanılarak yapay sinir ağı (YSA) yönteminde model geliştirilmiştir.

Keywords

Katkılı çimento, Puzolanlar, Basınç dayanımı, Yapay sinir ağları

Predicting The Strength Development Of Different Pozzolan Cements By Artificial Neural Networks

Abstract

This study is based on the determination of optimum usage of mineral additives as

supplementary cementing material for blended cement production. For this purpose, blended

cements were produced under laboratory conditions with natural zeolite, trass, volcanic tuff, fly

ash and ground granulated blast furnace slag at 10, 20, 30, 40 and 45% clinker replacement

ratios. Strength development of the cements was determined with compressive strength tests

performed at 2, 7, 28 and 180 days. Experimental results were also obtained by building models

according to artificial neural network (ANN) system.

Keywords

Blended cement, Pozzolans, Compressive strength, Artificial neural network

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