Prediction of Ultimate Moment Capacity of Steel-Concrete Composite Beams Using Artificial Neural Networks
Pages: 1 - 15
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Participants:
Rana A. Mtashet |
Nabeel A. Jasim |
Majid A. Alwan |
Summary:
The paper deals with neural network identification of the ultimate moment capacity of steel-concrete composite beams on the basis of experimental results. Basic information on artificial neural networks and their parameters suitable for analysis of experimental results are given. Two types of neural network algorithms are used. Results of identification are reported. The results show that artificial neural networks are highly suitable for assessing the ultimate moment capacity of the composite sections. The proposed neural network was also used to explore the effect of the various parameters on the behaviour of composite beams.