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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書誌詳細

主要な著者:	Michael Lo, Saravanan Karuppanan, Mark Ovinis
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-03-01
シリーズ:	Journal of Marine Science and Engineering
主題:	corroded pipeline interacting corrosion defects combined loadings failure pressure finite element analysis artificial neural network
オンライン･アクセス:	https://www.mdpi.com/2077-1312/9/3/281
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