Munise Didem DEMİRBAŞ, Murat OĞUZ, İbrahim ERİŞEN

Investigation of Buckling Behavior of Beams with Artificial Neural Network

In this study, the buckling behavior of a beam simply supported at both ends was analyzed analytically and numerically. The critical load of beams with different cross-sections was found by numerical analysis and these results were confirmed by analytical analyses. Then, the Artificial Neural Network (ANN) model was created using the data of different beam sections. An ANN model is presented in order to find the critical load quickly and effectively for beams with different geometries with the obtained data sets. The training and testing data of this model are detailed for I and tubular beams.

Anahtar Kelimeler:

Neural Network Algorithm, Buckling, Beam, Critical Buckling Load, Neural Network Algorithm, Buckling, Beam, Critical Buckling Load

Investigation of Buckling Behavior of Beams with Artificial Neural Network

Keywords:

Neural Network Algorithm, buckling, beam, critical buckling load”,

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