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- Title
Estimating Stiffness Modification Factor for the Coupling Beam of Coupled Shear Walls Using a Neural Network Model.
- Authors
Akbas, Bulent; Doran, Bilge; Alacali, Sema; Akşar, Bora
- Abstract
Neural Network (NN) have been widely used in modeling engineering problems, for the last two decades as a result of the developments in computer and software technology. The results of NN models, if constructed properly, generally yield a more realistic and accurate predictions. This study is intended to estimate the stiffness modification factor for the coupling beam of coupled shear walls using a neural network model. A multi-layered feed-forward NN model trained with the back-propagation algorithm is developed to model the non-linear relationship between the geometrical and mechanical properties of a coupled shear walls and its stiffness modification factor. The approach adapted in this study was shown to be capable of providing the best accurate estimates of the stiffness modification factor by using the three design parameters.
- Publication
Karaelmas Science & Engineering Journal / Karaelmas Fen ve Mühendislik Dergisi, 2016, Vol 6, Issue 2, p273
- ISSN
2146-4987
- Publication type
Article