A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines

This paper discusses the capabilities of artificial neural networks (ANNs) when integrated with the finite element method (FEM) and utilized as prediction tools to predict the failure pressure of corroded pipelines. The use of conventional residual strength assessment methods has proven to produce p...

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Detalles Bibliográficos
Autores principales: Vijaya Kumar, Suria Devi, Lo Yin Kai, Michael, Arumugam, Thibankumar, Karuppanan, Saravanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538846/
https://www.ncbi.nlm.nih.gov/pubmed/34683727
http://dx.doi.org/10.3390/ma14206135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538846/
https://www.ncbi.nlm.nih.gov/pubmed/34683727
http://dx.doi.org/10.3390/ma14206135

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