Prediction of residual stresses in girth welded pipes using an artificial neural network approach
Author:
Funder
EDF Energy
AMEC Power and Process Europe
Lloyd’s Register Foundation
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference28 articles.
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4. Accurate prediction of residual stress in stainless steel welds;Smith;Comput Mat. Sci.,2012
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