Year 2006, Volume 2, Issue 2, Pages 36 - 45 2006-08-01

The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks
Yapay Sinir Aglari ile Eksenel Yüklü Kolonlarin Burkulma Analizi

S. Kaya [1]

100 151

Computation on Civil Engineering has concentrated primarily on artificial intelligence applications in the past few years. These applications generally involve expert systems. This article deals Neural Networks and applications were presented. Axially loaded columns are designed according to the their buckling load capacity. In this study, a multi-layer artificial neural network is trained to give critical load for axially loaded columns and various support conditions. Backpropagation training algorithms are used considering the circular, square, rectangular, and I cross-sections. The artificial neural network, with is trained for circular , rectangular ,square and I sections for four support conditions, is tested for the four support conditions. The results found using trained neural networks are sufficiently close to the theoretical solution. It is emphasized that logical programming has application potential in this area.
Son yillarda, insaat mühendisligindeki bilgisayarli hesaplamalarda yapay zeka uygulamalari ilk sirayi almistir. Bu uygulamalar genellikle uzman sistemleri içermektedir. Bu makalede yapay sinir aglarina deginilmis ve bir uygulama yapilmistir. Eksenel yüklü kolonlar tasiyabilecekleri burkulma yükleri dikkate alinarak tasarimlanirlar. Bu çalismada çesitli mesnet kosullari iç in eksenel yüklü kolonlarin burkulma yükünü veren çok katmanli bir ag yapisi egitilmistir. Geriye yayilma egitim algoritmasi kullanilan çalismada dairesel, kare, dikdörtgen ve I kesitli kolonlar incelenmistir. Dört farkli mesnet durumu iç in egitilen ag, veriler karistirilarak dört farkli sinir kosulu için test edilmistir. Elde edilen sonuçlarin yeter duyarlilikta oldugu görülmüstür. Mantiksal programlama tekniginin bu alandaki uygulama potansiyeli vurgulanmistir.
Other ID JA69ZR26DU
Journal Section Articles
Authors

Author: S. Kaya

Dates

Publication Date: August 1, 2006

Bibtex @ { else313783, journal = {Electronic Letters on Science and Engineering}, issn = {1305-8614}, address = {Bozok University}, year = {2006}, volume = {2}, pages = {36 - 45}, doi = {}, title = {The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks}, key = {cite}, author = {Kaya, S.} }
APA Kaya, S . (2006). The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks. Electronic Letters on Science and Engineering, 2 (2), 36-45. Retrieved from http://dergipark.org.tr/else/issue/29324/313783
MLA Kaya, S . "The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks". Electronic Letters on Science and Engineering 2 (2006): 36-45 <http://dergipark.org.tr/else/issue/29324/313783>
Chicago Kaya, S . "The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks". Electronic Letters on Science and Engineering 2 (2006): 36-45
RIS TY - JOUR T1 - The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks AU - S. Kaya Y1 - 2006 PY - 2006 N1 - DO - T2 - Electronic Letters on Science and Engineering JF - Journal JO - JOR SP - 36 EP - 45 VL - 2 IS - 2 SN - 1305-8614- M3 - UR - Y2 - 2019 ER -
EndNote %0 Electronic Letters on Science and Engineering The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks %A S. Kaya %T The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks %D 2006 %J Electronic Letters on Science and Engineering %P 1305-8614- %V 2 %N 2 %R %U
ISNAD Kaya, S. . "The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks". Electronic Letters on Science and Engineering 2 / 2 (August 2006): 36-45.
AMA Kaya S . The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks. Electronic Letters on Science and Engineering. 2006; 2(2): 36-45.
Vancouver Kaya S . The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks. Electronic Letters on Science and Engineering. 2006; 2(2): 45-36.