TY - JOUR TT - Development Of A Split Tensile Strength Estimation Model On Lightweight Expanded Clay AggregateConcrete By Using Fuzzy Logic AU - Subaşı, Serkan AU - Beycioğlu, Ahmet AU - Emiroğlu, Mehmet PY - 2009 DA - December Y2 - 2009 JF - Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi JO - ESOGÜ Müh Mim Fak Derg PB - Eskişehir Osmangazi Üniversitesi WT - DergiPark SN - 2630-5712 SP - 157 EP - 166 VL - 22 IS - 3 KW - Genleştirilmiş Kil KW - Hafif Beton KW - Bulanık Mantık KW - Dolaylı Çekme Dayanımı. N2 - In this study, split tensile strength values of the lightweight aggregate concrete,having alternative mix design, which is prepared with expanded clay aggregate have beenmodeled by fuzzy logic method. For this purpose, expanded clay aggregate concrete mix designhas been prepared with 350, 400 and 450 kg/m3 cement content. Besides, 0%, 10%, 20% and30% fly ash were substituted for each cement contents in the mix design. Prepared specimenswere subjected for split tensile strength test. Input parameters were cement and fly ash contentand the output parameters were split tensile strength in the modeling. Thirty five rules wereformed according to the member functions which are determined for input parameters of themodeling. For the defuzzyfication process the centroid method was selected. Consequently, splittensile strength of the lightweight concrete was determined using the prepared fuzzy logic modelin this study. CR - [1] S. Yazıcıoğlu, N. Bozkurt, “Pomza ve Mineral Katkılı Taşıyıcı Hafif Betonun Mekanik Özelliklerinin Araştırılması”, Gazi Üniv. Müh. Mim. Fak. Der., Cilt. 21, No. 4, ss. 675- 680, 2006. CR - [2] S. Subaşı, “The effects of using fly ash on high strength lightweight concrete produced with expanded clay aggregate”, Scientific Research and Essay, Vol. 4, No. 4, pp. 275-288, April, 2009. CR - [3] S. Mindness, J. F. Young, “Concrete”, Prentice-Hall Inc., Englewood Cliffs, 1981. CR - [4] İ. B. Topçu, “Beton Teknolojisi”, Uğur Ofset, Eskişehir 570s, 2006. CR - [5] “Liapor”, http://www.liapor.com CR - [6] Z. Şen, “Bulanık Mantık ve Modelleme İlkeleri”, Bilge Kültür Sanat, İstanbul, 2001. CR - [7] İ. B. Topçu, Sarıdemir, M., “Prediction of properties of waste AAC aggregate concrete using artificial neural network”, Computational Materials Science, In Press, 2007. CR - [8] İ. B. Topçu, M. Sarıdemir, “Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial meural networks and fuzzy logic”, Computational Materials Science, In Press, 2007. CR - [9] İ. B. Topçu, “Semi-Lightweight Concretes Produced by Volcanic Slags”, Cement and Concrete Research, Vol. 27, pp.15-21, 1997. CR - [10] İ. B. Topçu, M. Sarıdemir, “Prediction of rubberized concrete properties using artificial neural network and fuzzy logic”, Construction and Building Materials, Vol. 22, pp.532- 540, 2008. CR - [11] TS EN 12350-6, Beton – Sertleşmiş Beton Deneyleri, Bölüm 6: Deney Numunelerinin Yarmada Çekme Dayanımının Tayini, Türk Standartları Enstitüsü, Ankara, 2003. CR - [12] L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8., pp. 338-353, 1965. CR - [13] S. Terzi, “Bitüm Miktarının Asfalt Betonu Dayanımına Etkisinin Bulanık Mantık Yöntemi İle Modellenmesi”, 4. Uluslar arası İleri Teknolojiler Sempozyumu, 28-30 Eylül, Konya, 2005. CR - [14] Ö. Kişi, M. E. Karahan, Z. Şen, “Nehirlerdeki askı maddesi miktarının bulanık mantık ile modellenmesi”, İtüdergisi/d mühendislik, Cilt. 2, Sayı. 3, ss. 43-54, Haziran 2003. UR - https://dergipark.org.tr/tr/pub/ogummf/issue//325483 L1 - https://dergipark.org.tr/tr/download/article-file/320477 ER -