Integrated finite element analysis and machine learning approach for propagation pressure prediction in hybrid Steel-CFRP subsea pipelines-Reference-Cited by-同舟云学术

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Integrated finite element analysis and machine learning approach for propagation pressure prediction in hybrid Steel-CFRP subsea pipelines

Published:2024-11 Issue: Volume:311 Page:118808
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Alrsai Mahmoud^ORCID,Alsahalen Ala’,Karampour Hassan^ORCID,Alhawamdeh Mohammad^ORCID,Alajarmeh Omar

Publisher

Elsevier BV

Reference62 articles.

1. Effects of sample size of ground motions on seismic fragility analysis of offshore jacket platforms using Genetic Algorithm;Abyani;Ocean Engineering,2019

2. Predicting failure pressure of the corroded offshore pipelines using an efficient finite element based algorithm and machine learning techniques;Abyani;Ocean Engineering,2022

3. On the surprising behavior of distance metrics in high dimensional space;Aggarwal,2001

4. The use of fiber reinforced polymeric composites in pipelines: a review;Alabtah;Compos. Struct.,2021

5. Propagation buckling in deep sub-sea pipelines;Albermani;Eng. Struct.,2011

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