Artificial Neural Network-Based Failure Pressure Prediction of API 5L X80 Pipeline with Circumferentially Aligned Interacting Corrosion Defects Subjected to Combined Loadings

Conventional pipeline corrosion assessment methods produce conservative failure pressure predictions for pipes under the influence of both internal pressure and longitudinal compressive stress. Numerical approaches, on the other hand, are computationally expensive. This work provides an assessment m...

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Detalles Bibliográficos
Autores principales: Vijaya Kumar, Suria Devi, Karuppanan, Saravanan, Ovinis, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953741/
https://www.ncbi.nlm.nih.gov/pubmed/35329710
http://dx.doi.org/10.3390/ma15062259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953741/
https://www.ncbi.nlm.nih.gov/pubmed/35329710
http://dx.doi.org/10.3390/ma15062259

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