Open AccessCorroded Subsea Pipelines Burst Pressure Prediction Utilizing Finite Element Data Using ANN
Author(s) -
Mohd Fakri Muda,
Mohd Hisbany Mohd Hashim,
Mohd Khairul Kamarudin,
Mohd Hairil Mohd,
Marzuki Abdul Rahman
Publication year - 2022
Publication title -
civil engineering and architecture
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 4
eISSN - 2332-1121
pISSN - 2332-1091
DOI - 10.13189/cea.2022.100128
Subject(s) - subsea , finite element method , pipeline transport , structural engineering , engineering , marine engineering , artificial neural network , petroleum engineering , computer science , mechanical engineering , artificial intelligence
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