ANN-and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect

Michael Lo; Saravanan Karuppanan; Mark Ovinis

doi:10.3390/jmse10040476

ANN-and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect

Michael Lo^*
, Saravanan Karuppanan
, Mark Ovinis

^*Corresponding author for this work

Universiti Teknologi Petronas

Research output: Contribution to journal › Article › peer-review

19 Citations (SciVal)

Original language	English
Article number	476
Journal	Journal of Marine Science and Engineering
Volume	10
Issue number	4
DOIs	https://doi.org/10.3390/jmse10040476
Publication status	Published (VoR) - Apr 2022

Funding

Funding: This research was funded by Ministry of Higher Education, Malaysia (FRGS/1/2018/TK03/ UTP/02/1) and Yayasan Universiti Teknologi PETRONAS, Malaysia, grant number 015LC0-110.

Funders	Funder number
Ministry of Higher Education, Malaysia	FRGS/1/2018/TK03/ UTP/02/1
Yayasan UTP	015LC0-110

Keywords

artificial neural network
combined loadings
corroded pipeline
failure pressure prediction
finite element method
single corrosion defect

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10.3390/jmse10040476

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title = "ANN-and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect",

keywords = "artificial neural network, combined loadings, corroded pipeline, failure pressure prediction, finite element method, single corrosion defect",

author = "Michael Lo and Saravanan Karuppanan and Mark Ovinis",

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language = "English",

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AU - Lo, Michael

AU - Karuppanan, Saravanan

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KW - artificial neural network

KW - combined loadings

KW - corroded pipeline

KW - failure pressure prediction

KW - finite element method

KW - single corrosion defect

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UR - https://www.scopus.com/pages/publications/85128370526#tab=citedBy

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ANN-and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect

Funding

Keywords

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