Response Prediction of Structural System Subject to Earthquake Motions
  using Artificial Neural Network
  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.
