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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Detalhes bibliográficos

Principais autores:	Michael Lo, Saravanan Karuppanan, Mark Ovinis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-03-01
coleção:	Journal of Marine Science and Engineering
Assuntos:	corroded pipeline interacting corrosion defects combined loadings failure pressure finite element analysis artificial neural network
Acesso em linha:	https://www.mdpi.com/2077-1312/9/3/281
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