SIMULATION USING ARTIFICIAL NEURAL NETWORK FOR THE RESPONSE PREDICTION OF SINGLE STOREY BUILDING STRUCTURES SUBJECT TO EARTHQUAKE MOTIONS
S. Chakraverty* and Pallavi Gupta
B.P.P.P. Division, Central Building Research Institute
Roorkee-247 667, Uttaranchal, India
*e-mail : email@example.com
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. Other methods such as finite element analysis requires complex mathematical formulation and other details of the structure to compute the responses where as the ANN technique needs only the input output data to represent the system. The system here 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. 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.