Prediction of Steel Fibre Reinforced Concrete Strength by Artificial Neural Network (ANN) using 5 and 3 independent pie terms

Volume: 7    Issue: 2

Year of Publication: 2020

Pages: (54-58)

Authors: Dr. A.M. Shende, Dr.K.P.Yadav, Dr. A. M. Pande, Dr. P. P. Bhad

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Abstract

The object of the present research paper is to develop Artificial Neural Network Simulation and by using five and three independent π-term from five independent pi terms. (Aspect ratio, aggregate-cement ratio, water-cement ratio, percentage of fibre and control strength)) for prediction of SFRC strength. From three independent pie terms control strength, percentage of fibre and Aspect ratio. The output of this network can be evaluated by comparing it with experimental strength and the predicted ANN simulation strength. The study becomes more fruitful when most influencing π-term is calculated for the prediction of SFRC strength. The beauty of both the models is that we can predict compressive strength, flexural strength and split tensile strength by using same model.

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Keywords

ANN model; 5 independent π Terms: 3 independent π, predicted SFRC strength.