APPLICATION OF ANN FOR ULTIMATE SHEAR STRENGTH OF FLY ASH CONCRETE BEAMS

Putte Gowda B.S, Aswath M.U, Muthu K.U, Udaya B.N

Abstract: The application of artificial neural networks (ANN) for ultimate shear strength of fly ash concrete beams with transverse reinforcement is investigated in this paper. An ANN model is built, trained and tested using the available test data of 216 RC beams collected from the literature also the experimental data of twenty seven fly ash concrete beams under shear. The experimental shear strength were also compared to those obtained using building codal equations and empirical equations proposed by various researchers. The ANN model was found to predict satisfactorily when compared to available analytical predictions.

Keywords: Artificial Neural Network (ANN), Building codes, Comparison, Charts, Empirical Equations, Fly ash Concrete, Shear Strength

DOI: https://doi.org/10.15623/ijret.2013.0213013