Harun Tanyildizi

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In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predict the compressive strength of silica fume concrete. A data set of a laboratory work, in which a total of 48 concretes were produced, was utilized in the ANNs and FL study. The concrete mixture parameters were four different water–cement ratios, three(More)
In this study, a fuzzy logic prediction model for 3, 7, 14 and 28 days compressive strength of lightweight concrete made with scoria aggregate and fly ash under different curing conditions (standard and air curing) was devised. In mixtures containing fly ash, 15% of Portland cement by weight was replaced with fly ash. The specimens were cured in standard(More)
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