ARTIFICIAL NEURAL-NETWORK TECHNOLOGY AS A METHOD TO EVALUATE THE FAILURE BENDING MOMENT OF A PIPE WITH A CIRCUMFERENTIAL CRACK

Citation
Yl. Han et al., ARTIFICIAL NEURAL-NETWORK TECHNOLOGY AS A METHOD TO EVALUATE THE FAILURE BENDING MOMENT OF A PIPE WITH A CIRCUMFERENTIAL CRACK, International journal of pressure vessels and piping, 68(1), 1996, pp. 1-6
Citations number
2
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Engineering
ISSN journal
0308-0161
Volume
68
Issue
1
Year of publication
1996
Pages
1 - 6
Database
ISI
SICI code
0308-0161(1996)68:1<1:ANTAAM>2.0.ZU;2-B
Abstract
The artificial neural network (ANN) method is introduced to evaluate t he failure bending moment of pipes with circumferential cracks. In par ticular examples. it is used to evaluate the failure bending moment of full-scale pipes under internal pressure and external bending moment. The examples show the feasibility that the neural network method can be used to predict the failure bending moment of pipes with circumfere ntial cracks. The neural network method is also used to assess the acc eptability of flawed pipes in plant. A comparison of the assessment re sults of the neural network method with those of the ASME Boiler and P ressure Vessel Code Section XI IWB-3650 is also presented. Copyright ( C) 1996 Elsevier Ltd.