Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
Repository logoRepository logo
  • Communities & Collections
  • All Contents
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
  1. Home
  2. Browse by Publisher

Browsing by Publisher "ICE Publishing Ltd"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    Artificial neural network analysis of infilled planar frames
    (ICE Publishing Ltd, 2006) Baǧci M.; Altintas G.
    In this study, infilled planar frames have been analysed using an artificial neural network. The data used were provided by a finite element model (FEM) in which nonlinearity of materials and the structural interface were taken into account under increasing lateral load. For the skeleton frame, the panel was modelled by a two-noded frame element and a four-noded isoparametric element respectively. The Von Mises failure criterion was used for the infill wall. Values obtained from FEM were used in training the network established. An artificial neural network (ANN) architecture was chosen in which a multilayer, feed-forward and back-propagation algorithm was used. The controls conducted in the test phase showed that training was satisfactory. The study has proved that the ANN could be successfully used for analysis of infilled planar frames.

Manisa Celal Bayar University copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback