Buckling load estimation of cracked columns using artificial neural network modeling technique
Yazarlar (4)
Prof. Dr. Mahmut BİLGEHAN İstanbul Arel Üniversitesi, Türkiye
Prof. Dr. Muhammet Arif Gürel Harran Üniversitesi, Türkiye
Prof. Dr. Recep Kadir Pekgökgöz Harran Üniversitesi, Türkiye
Prof. Dr. Murat Kısa Harran Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Journal of Civil Engineering and Management | ||
| Dergi ISSN | 1392-3730 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2012 |
| Cilt / Sayı / Sayfa | 18 / 4 / 568–579 | DOI | 10.3846/13923730.2012.702988 |
| Makale Linki | http://www.tandfonline.com/doi/abs/10.3846/13923730.2012.702988 | ||
| UAK Araştırma Alanları |
Betonarme Yapılar
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| Özet |
| In this paper, buckling analysis of slender prismatic columns with a single non-propagating open edge crack subjected to axial loads has been presented utilizing the transfer matrix method and the artificial neural networks. A multi-layer feedforward neural network learning by backpropagation algorithm has been employed in the study. The main focus of this work is the investigation of feasibility of using an artificial neural network to assess the critical buckling load of axially loaded compression rods. This is explored by comparing the performance of neural network models with the results of the matrix method for all considered support conditions. It can be seen from the results that the critical buckling load values obtained from the neural networks closely follow the values obtained from the matrix method for the whole data sets. The final results show that the proposed methodology may constitute an efficient tool for … |
| Anahtar Kelimeler |
| buckling,stability,crack,slender prismatic columns,artificial neural networks |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 13 |