# Response Prediction Of Structural System Subject To Earthquake Motions Using Artificial Neural Network

S. Chakraverty*, T. Marwala** , Pallavi Gupta* and Thando Tettey**
*B.P.P.P. Division, Central Building Research Institute Roorkee-247 667, Uttaranchal, India e-mail :sne_chak@yahoo.com 
****School of Electrical and Information Engineering,** 
University of the Witwatersrand, Private Bag 3 Wits, 2050,Republic of South Africa
 

## Abstract

This paper uses Artificial Neural Network (ANN) models to compute response of structural system subject to Indian earthquakes at Chamoli and Uttarkashi ground motion data. The system is first trained for a single real earthquake data. The trained ANN architecture is then used to simulate earthquakes with various intensities and it was found that the predicted responses given by ANN model are accurate for practical purposes. When the ANN is trained by a part of the ground motion data, it can also identify the responses of the structural system well. In this way the safeness of the structural systems may be predicted in case of future earthquakes without waiting for the earthquake to occur for the lessons. Time period and the corresponding maximum response of the building for an earthquake has been evaluated, which is again trained to predict the maximum response of the building at different time periods. The trained time period versus maximum response ANN model is also tested for real earthquake data of other place, which was not used in the training and was found to be in good agreement.

Keywords : Earthquake, Neural Network, Frequency, Structure, Building. 