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Structural Engineering and Mechanics Volume 21, Number 5, November30 2005 , pages 495-506 DOI: https://doi.org/10.12989/sem.2005.21.5.495 |
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Neural network based modeling of infilled steel frames |
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K. Subramanian, K. M. Mini and S. Josephine Kelvina Florence
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| Abstract | ||
| A neural network based model is developed for the structural analysis of masonry infilled steel 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 of dimension of frame, size of infill, properties of steel and infill was developed. It was found to be acceptable in predicting the failure modes of infilled frames and corresponding failure load subject to limitations 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 behaviour especially when the data are limited. The ANN model was also compared with the available experimental results and was found to perform well. | ||
| Key Words | ||
| neural network-model; infilled steel frames; failure modes; collapse load. | ||
| Address | ||
| K. Subramanian; Civil Engineering Dept., Coimbatore Institute of Technology, Coimbatore, India K. M. Mini; Applied Mechanics Dept., Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore, India S. Josephine Kelvina Florence; Civil Engineering Dept, Coimbatore Institute of Technology, Coimbatore, India | ||