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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Hlavní autoři:	Michael Lo, Saravanan Karuppanan, Mark Ovinis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-03-01
Edice:	Journal of Marine Science and Engineering
Témata:	corroded pipeline interacting corrosion defects combined loadings failure pressure finite element analysis artificial neural network
On-line přístup:	https://www.mdpi.com/2077-1312/9/3/281
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