| Yazarlar (1) |
Prof. Dr. Mahmut BİLGEHAN
Kastamonu Üniversitesi, Türkiye |
| Özet |
| The investigation of the effects of cracks or similar weaknesses on the load carrying capacity of structural elements such as columns, beams and shells is an important problem in civil, mechanical, earthquake and aerospace engineering. In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) model have been successfully used for the buckling analysis of slender prismatic columns with a single non-propagating open edge crack subjected to axial loads. The main focus of this work has been to study the feasibility of using ANFIS and neural network (NN) trained with the non-dimensional crack depth and the non-dimensional crack location parameters to predict the critical buckling load of fixed-free, pinned-pinned, fixed-pinned and fixed-fixed supported, axially loaded compression rods. A comparative study is made using the neural nets and neuro-fuzzy techniques. Statistic … |
| Anahtar Kelimeler |
| Slender prismatic columns,Stability,Buckling,Open edge crack,Neural networks,Neuro-fuzzy modeling |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Applied Soft Computing |
| Dergi ISSN | 1568-4946 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Makale Dili | İngilizce |
| Basım Tarihi | 06-2011 |
| Cilt No | 11 |
| Sayı | 4 |
| Sayfalar | 3779 / 3791 |
| Doi Numarası | 10.1016/j.asoc.2011.02.011 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S1568494611000718 |
| Atıf Sayıları | |
| Google Scholar | 77 |
