期刊
MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK
卷 42, 期 10, 页码 888-893出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/mawe.201100848
关键词
Aluminium alloys; SN-lines; welded joints; artificial neural networks
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据