Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic
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چکیده
The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy logic model showed better performance than neural network model. Keywords—Self compacting concrete, compressive strength, prediction, neural network, Fuzzy logic.
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