Application of ann for ultimate shear strength of geo-polymer concrete beams

Udaya, B N and Muthu, K U and Mourougane, R and Shetty, Kiran Kumar (2013) Application of ann for ultimate shear strength of geo-polymer concrete beams. In: National conference on new horizons in civil Engineering , April 12-13, M I T Manipal.

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Abstract

The application of artificial neural networks (ANN) for ultimate shear strength of geopolymer 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 six geo-polymer 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Artificial Neural Network, Building codes, Comparison, Charts, Empirical Equations, Geo-polymer, Shear Strength.
Subjects: Engineering > MIT Manipal > Civil Engineering
Depositing User: MIT Library
Date Deposited: 24 Aug 2013 08:36
Last Modified: 24 Aug 2013 08:36
URI: http://eprints.manipal.edu/id/eprint/136887

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