Effectiveness of ANN for seismic behaviour prediction considering geometric configuration effect in concrete gravity dams

SummaryIn this study, an Artificial Neural Networks (ANN) model is built and verified for quick estimation of the structural parameter obtained for a concrete gravity dam section due to seismic excitation. The database of numerous inputs and outputs obtained through Abaqus which are further converted into dimensionless forms in the statistical software (MATLAB) to build the ANN model. The developed model can be used for accurate estimation of this parameter. The results showed an excellent capability of the model to predict the outputs with high accuracy and reduced computational time