This monograph presents an artificial neural network (ANN) model
for the analysis and assessment of infilled frames subjected to
lateral loading. A multilayer feedforward network with
backpropagation learning algorithm has been adopted to model the
behaviour of infilled frames. Both reinforced concrete and steel
frames were considered in the analysis. Based on a parametric study
the optimum architecture of the network was arrived at, and it is
observed that the trained networks are able to predict the failure
loads and displacement of both reinforced concrete and steel
infilled frames for all the test patterns satisfactorily. The
equations which were formed based on a regression analysis between
the predicted results and the actual results showed good agreement
with new set of data. Hence, these equations can be used to obtain
the actual capacity of the infilled frames. An experimental
investigation also has been carried out in this monograph to check
the efficacy of the developed model. The monograph focuses on the
work carried by the first author at Anna University, Chennai,
India; as a part of her doctoral study.
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