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Corrosion Rate Prediction for Underground Gas Pipelines Using A Levenberg-Marquardt Artificial Neural Network (ANN) Cover

Corrosion Rate Prediction for Underground Gas Pipelines Using A Levenberg-Marquardt Artificial Neural Network (ANN)

Advances in Materials Science
Volume 24 (2024): Issue 4 (December 2024)
By: Ashref Ahmaid and  Fuad Khoshnaw  
Open Access
|Dec 2024
DOI: https://doi.org/10.2478/adms-2024-0020 | Journal eISSN: 2083-4799 | Journal ISSN: 1730-2439
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Language: English
Page range: 5 - 22
Submitted on: Sep 2, 2024
Accepted on: Oct 16, 2024
Published on: Dec 24, 2024
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
pipeline integrity,
corrosion,
ANN,
remaining life estimation
Related subjects:
Materials sciences,
Functional and smart materials

© 2024 Ashref Ahmaid, Fuad Khoshnaw, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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