Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 38, Issue 11-12, Pages 868-875Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2006.08.047
Keywords
corroded pipe assessment; interacting defects; interaction rules; finite element analysis; artificial neural networks
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In this paper we present an application of the neural network technology for the assessment of pipes with interacting defects. Finite element simulations are carried out on a pipe containing two aligned and equally shaped defects of 80 x 32 mm and various defect spacing, providing a database containing the relation between the failure pressures of pipes with multiple and single defects. Neural networks are conceived by using this database, establishing interaction rules and a pipe assessment of interacting defects in the longitudinal and circumferential directions. The neural networks results are compared with those derived from the Det Norske Veritas code (DNV RPF-101). (c) 2007 Elsevier Ltd. and Civil-Comp Ltd. All rights reserved.
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