Commenced in January 2007
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Edition: International
Paper Count: 30843
Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic

Authors: Yogesh Aggarwal, Paratibha Aggarwal


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. 28- day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy logic model showed better performance than neural network model.

Keywords: Neural Network, Fuzzy Logic, prediction, compressive strength, self compacting concrete

Digital Object Identifier (DOI):

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