Prediction of Ultimate Strength of Steel-Concrete Composite Beams with Metal Deck Slab Using Artificial Neural Network
Pages: 23 - 35
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Participants:
Rana Auda Mtasher |
Summary:
This paper explores the potential of using artificial neural networks to predict the ultimate moment capacity of steel-concrete composite beam with metal deck slab. Basic information on artificial neural network and parameters suitable for analysis of experimental results are given. A multilayer Backpropegatioo neural network is used for training and testing the experimental data. A comparison study between the experimental values and two models (neural network and AISC models) is also carried out. It was found that the neural network model provides better results. The proposed neural network is also used to explore the effect of the various parameters on the behaviour of beams.