Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Development of an Ansys interface for FE solid modeling and analysis of corroded pipelines
ACS'08 Proceedings of the 8th conference on Applied computer scince
On the failure pressure of pipelines containing wall reduction and isolated pit corrosion defects
Computers and Structures
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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 80x32mm 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).