Failure Pressure Prediction of a Corroded Pipeline with Longitudinally Interacting Corrosion Defects Subjected to Combined Loadings Using FEM and ANN

Failure Pressure Prediction of a Corroded Pipeline with Longitudinally Interacting Corrosion Defects Subjected to Combined Loadings Using FEM and ANN

Machine learning tools are increasingly adopted in various industries because of their excellent predictive capability, with high precision and high accuracy. In this work, analytical equations to predict the failure pressure of a corroded pipeline with longitudinally interacting corrosion defects s...

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Bibliographic Details
Main Authors: Michael Lo, Saravanan Karuppanan, Mark Ovinis
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Marine Science and Engineering
Subjects:
corroded pipeline
interacting corrosion defects
combined loadings
failure pressure
finite element analysis
artificial neural network
Online Access:https://www.mdpi.com/2077-1312/9/3/281

Internet

https://www.mdpi.com/2077-1312/9/3/281

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