Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN)
Lateral–torsional buckling resistance prediction model for steel cellular beams generated by Artificial Neural Networks (ANN)
Felipe Piana Vendramell Ferreira,R. Shamass,2 Authors,C. H. Martins
TLDR
The ANN model with seven neurons can accurately predict the LTB resistance of cellular beams as well the LTB combined 21 with web-post buckling or web distortional buckling modes Hence, the ANN-based formula can be adopted as design tool.
Abstract
17 The present paper aims to develop an Artificial Neural Network (ANN) formula to predict the LTB resistance of steel cellular 18 beams. A finite element model is developed and validated through experimental tests. A parametric study is then conducted. 768 19 models are employed to train the ANN. The results are compared with the analytical models, as well as the equation predicted by 20 ANN. The ANN model with seven neurons can accurately predict the LTB resistance of cellular beams as well the LTB combined 21 with web-post buckling or web distortional buckling modes. Hence, the ANN-based formula can be adopted as design tool.