초록 close

A neural network based model is developed for the structural analysis of masonry infilledsteel frames, which can account for the non-linearities in the material properties and structural behaviour.Using the data available from the analytical methods, an ANN model with input parameters consisting ofacceptable in predicting the failure modes of infilled frames and coresponding failure load subject tolimitations in the training data and the predicted results are tested using the available experimental results.The study shows the importance of validating the ANN models in simulating structural behaviourresults and was found to perform well.