An Artificial Neural Network-Based Equation for Predicting the Remaining Strength of Mid-to-High Strength Pipelines with a Single Corrosion Defect

An Artificial Neural Network-Based Equation for Predicting the Remaining Strength of Mid-to-High Strength Pipelines with a Single Corrosion Defect

Numerical methods such as finite element analysis (FEA) can accurately predict remaining strength, with strong correlation with actual burst tests. However, parametric studies with FEA are time and computationally intensive. Alternatively, an artificial neural network-based equation can be used. In...

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Bibliographic Details
Main Authors: Michael Lo, Suria Devi Vijaya Kumar, Saravanan Karuppanan, Mark Ovinis
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
artificial neural network
remaining strength equation
corroded pipeline
single defect
combined loadings
finite element analysis
Online Access:https://www.mdpi.com/2076-3417/12/3/1722

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