TR
EN
Investigation of Buckling Behavior of Beams with Artificial Neural Network
Öz
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
Kaynakça
- Referans 1 S. Timoshenko and M.G. James, Theory of Elastic Stability, New York: McGraw-Hill, 1961.
- Referans2. Z.P. Bazant and L. Cedolin, Stability of Structures: Elastic, Inelastic, Fracture and Damage Theories. New York: Oxford University Press. 1991.
- Referans3 S. Albayrak, Yanal burkulma etkisindeki I kesitli kirişlerde ideal desteklerin belirlenmesi ve yapay sinir ağları yaklaşımı, doktora tezi, Karadeniz Teknik Üniversitesi, Fen bilimleri Enstitüsü, 2011.
- Referans 4 M.R. Sheidaii, R. Bahraminejad, “Evaluation of compression member buckling and post-buckling behavior using artificial neural network”, Journal of Constructional Steel Research, vol. 70, p. 71-77, 2012.
- Referans 5 M. Hosseinpour, Y.Sharifi, H. Sharifi, “Neural network application for distortional buckling capacity assessment of castellated steel beams”, Structures, vol. 27, p. 1174-1183, 2020.
- Referans 6 R.R. Kumar, T. Mukhopadhya, K.M. Pandey, S. Dey, “Chapter 5 - Prediction capability of polynomial neural network for uncertain buckling behavior of sandwich plates”, Handbook of Probabilistic Models, p. 131-140, 2020.
- Referans7 Z. Sun, Z. Lei, R. Bai, H. Jiang, J. Zou, Y. Ma, C.Yan, “Prediction of compression buckling load and buckling mode of hat-stiffened panels using artificial neural network”,Engineering Structures, vol. 242, p. 112275, 2021.
- Referans8 F. Susac, E.F. Beznea and N. Baroiu , “Artificial neural network applied to prediction of buckling behavior of the thin-walled box” Advanced Engineering Forum 21, p.141-150, 2016.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Makine Mühendisliği
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Haziran 2021
Gönderilme Tarihi
16 Haziran 2021
Kabul Tarihi
29 Haziran 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 5 Sayı: 1
APA
Demirbaş, M. D., Oğuz, M., & Erişen, İ. (2021). Investigation of Buckling Behavior of Beams with Artificial Neural Network. International Scientific and Vocational Studies Journal, 5(1), 94-106. https://izlik.org/JA39UK23ZW
AMA
1.Demirbaş MD, Oğuz M, Erişen İ. Investigation of Buckling Behavior of Beams with Artificial Neural Network. ISVOS. 2021;5(1):94-106. https://izlik.org/JA39UK23ZW
Chicago
Demirbaş, Munise Didem, Murat Oğuz, ve İbrahim Erişen. 2021. “Investigation of Buckling Behavior of Beams with Artificial Neural Network”. International Scientific and Vocational Studies Journal 5 (1): 94-106. https://izlik.org/JA39UK23ZW.
EndNote
Demirbaş MD, Oğuz M, Erişen İ (01 Haziran 2021) Investigation of Buckling Behavior of Beams with Artificial Neural Network. International Scientific and Vocational Studies Journal 5 1 94–106.
IEEE
[1]M. D. Demirbaş, M. Oğuz, ve İ. Erişen, “Investigation of Buckling Behavior of Beams with Artificial Neural Network”, ISVOS, c. 5, sy 1, ss. 94–106, Haz. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA39UK23ZW
ISNAD
Demirbaş, Munise Didem - Oğuz, Murat - Erişen, İbrahim. “Investigation of Buckling Behavior of Beams with Artificial Neural Network”. International Scientific and Vocational Studies Journal 5/1 (01 Haziran 2021): 94-106. https://izlik.org/JA39UK23ZW.
JAMA
1.Demirbaş MD, Oğuz M, Erişen İ. Investigation of Buckling Behavior of Beams with Artificial Neural Network. ISVOS. 2021;5:94–106.
MLA
Demirbaş, Munise Didem, vd. “Investigation of Buckling Behavior of Beams with Artificial Neural Network”. International Scientific and Vocational Studies Journal, c. 5, sy 1, Haziran 2021, ss. 94-106, https://izlik.org/JA39UK23ZW.
Vancouver
1.Munise Didem Demirbaş, Murat Oğuz, İbrahim Erişen. Investigation of Buckling Behavior of Beams with Artificial Neural Network. ISVOS [Internet]. 01 Haziran 2021;5(1):94-106. Erişim adresi: https://izlik.org/JA39UK23ZW