International Scientific and Vocational Studies Journal

Yazarlar: Munise Didem DEMİRBAŞ, Murat OĞUZ, İbrahim ERİŞEN

Konular:Mühendislik, Makine

Anahtar Kelimeler:Neural Network Algorithm,Buckling,Beam,Critical buckling load”

Özet: 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.

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