Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN)
Journal article
Ferreira, F., Shamass, R., Limbachiya, V., Tsavdarisdis, K. and Martins, C. (2021). Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN). Thin-Walled Structures. 170, p. 108592. https://doi.org/10.1016/j.tws.2021.108592
| Authors | Ferreira, F., Shamass, R., Limbachiya, V., Tsavdarisdis, K. and Martins, C. |
|---|---|
| Abstract | The present paper aims to develop an Artificial Neural Network (ANN) formula to predict the LTB resistance of steel cellular beams. A finite element model is developed and validated through experimental tests. A parametric study is then conducted. 768 models are employed to train the ANN. The results are compared with the analytical models, as well as the equation predicted by ANN. The ANN model with seven neurons can accurately predict the LTB resistance of cellular beams as well the LTB combined with web-post buckling or web distortional buckling modes. Hence, the ANN-based formula can be adopted as design tool. |
| Keywords | Artificial neural network; Machine learning; Steel cellular beams; Lateral-torsional buckling; Finite element method. |
| Year | 2021 |
| Journal | Thin-Walled Structures |
| Journal citation | 170, p. 108592 |
| Publisher | Elsevier |
| ISSN | 0263-8231 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.tws.2021.108592 |
| Publication dates | |
| 15 Nov 2021 | |
| Publication process dates | |
| Accepted | 25 Oct 2021 |
| Deposited | 06 Dec 2021 |
| Accepted author manuscript |
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