Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
568526 | Advances in Engineering Software | 2007 | 8 Pages |
Abstract
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 × 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 RP-F101).
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
R.C.C. Silva, J.N.C. Guerreiro, A.F.D. Loula,