Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5869
Title: Estimation of fatigue life for aluminium welded joints with the application of artificial neural networks
Authors: Karakaş, Özler
Keywords: Aluminium alloys
artificial neural networks
SN-lines
welded joints
Aluminium welded joints
Artificial Neural Network
Constant amplitude loading
Fatigue behaviour
Fatigue data
Scatter band
Tested data
Aluminum
Aluminum alloys
Fatigue of materials
Tin alloys
Welding
Welds
Neural networks
Abstract: The aim of this investigation was determining the fatigue behaviour of welded aluminium joints and so the appertaining SN-lines by application of Artificial Neural Network (ANN) architectures. For this, fatigue data obtained with aluminium welded joints subjected to constant amplitude loading were used. The main benefit of ANN is the good description of the effects of different factors on fatigue life. The results determined by the ANN method for four aluminium alloys are displayed in scatter bands of SN-lines. It is observed that the trained results are in good agreement with the tested data and enable the estimation of SN-lines. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
URI: https://hdl.handle.net/11499/5869
https://doi.org/10.1002/mawe.201100848
ISSN: 0933-5137
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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