Prediction of base shear for three dimensional RC frame subjected to lateral load using artificial neural network

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Jayaramappa, N. and Krishna, A. and Annpurna, B.P. and Kiran, T. (2014) Prediction of base shear for three dimensional RC frame subjected to lateral load using artificial neural network. Indian Journal of Science and Technology, 7 (6). pp. 729-733. ISSN 09746846

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Official URL: https://doi.org/10.17485/ijst/2014/v7i6/50914

Abstract

The main objective of this paper is to predict the base shear for a three dimensional four storey single bay RC frame, subjected to lateral load, using Artificial Neural Network. Analytical Pushover analysis is carried out using ETAB software. Pushover curve is plotted for Base shear versus roof displacement, to the prototype model tested at Central Power Research Institute (CPRI) Bangalore. The analytical results obtained from ETAB analysis are compared with the results predicted from Artificial Neural Network (ANN). Displacement and plastic hinges are selected as input vectors to ANN. Back propagation algorithm has been used for training. A learning rate constant of 0.85, error tolerance 0.001, and 5500 cycles are used for training ANN. Delta rule is used for adjusting the weights. It is found that a four-layer network (5-6-6-1) which consists of 5 input neurons, two hidden layers of 6 neurons each and one output neuron efficiently converges almost close to analytical results with an error range of 0.17 to 8.25.

Item Type: Article
Additional Information: cited By 1
Subjects: Faculty of Engineering > Civil Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Civil Engineering
Depositing User: Mr. Kirana Kumar D
Date Deposited: 26 Mar 2016 07:54
Last Modified: 26 Mar 2016 07:54
URI: http://eprints-bangaloreuniversity.in/id/eprint/3191

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