TY  - JOUR
TT  - Prediction Of Compressive Strength Of Concrete Containing High-Low Fly Ash Using ANN And FL
AU  - Topçu, İlker Bekir
AU  - Sarıdemir, Mustafa
PY  - 2008
DA  - June
Y2  - 2007
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  - 39
EP  - 56
VL  - 21
IS  - 1
KW  - Dayanım
KW  - uçucu kül
KW  - yapay sinir ağları
KW  - bulanık mantık.
N2  - In this study, artificial neural networks and fuzzy logic models forpredicting the 7, 28 and 90-day compressive strength of concretes containing highlimeand low-lime fly ashes have been developed. For purpose of constructing thesemodels, 52 different mixes with 180 specimens were gathered from the literature.The data used in the artificial neural networks and fuzzy logic models are arrangedin a format of nine input parameters that cover the day, Portland cement, water,sand, crushed stone-I, crushed stone-II, high range water reducing agentreplacement ratio, fly ash replacement ratio and CaO, and an output parameterwhich is compressive strength of concrete. In the models of the training and testingresults have shown that artificial neural networks and fuzzy logic systems havestrong potential for predicting 7, 28 and 90-day compressive strength of concretescontaining fly ash.
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UR  - https://dergipark.org.tr/tr/pub/ogummf/issue//325493
L1  - https://dergipark.org.tr/tr/download/article-file/320494
ER  -