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Developing a dynamic model for pitting and corrosion-fatigue damage of subsea pipelines

Arzaghi, E, Abbassi, R ORCID: 0000-0002-9230-6175, Garaniya, V ORCID: 0000-0002-0090-147X, Binns, J ORCID: 0000-0001-6892-0063, Chin, C ORCID: 0000-0002-3070-731X, Khakzad, N and Reniers, G 2017 , 'Developing a dynamic model for pitting and corrosion-fatigue damage of subsea pipelines' , Ocean Engineering: An International Journal of Research and Development, vol. 150 , pp. 391-396 , doi: 10.1016/j.oceaneng.2017.12.014.

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Degradation of subsea pipelines in the presence of corrosive agents and cyclic loads may lead to the failure of these structures. In order to improve their reliability, the deterioration process through pitting and corrosionfatigue phenomena should be considered simultaneously for prognosis. This process starts with pitting nucleation, transits to fatigue damage and leads to fracture and is influenced by many factors such as material and process conditions, each incorporating a high level of uncertainty. This study proposes a novel probabilistic methodology for integrated modelling of pitting and corrosion-fatigue degradation processes of subsea pipelines. The entire process is modelled using a Dynamic Bayesian Network (DBN) methodology, representing its temporal nature and varying growth rates. The model also takes into account the factors influencing each stage of the process. To demonstrate its application, the methodology is applied to estimate the remaining useful life of high strength steel pipelines. This information along with Bayesian updating based on monitoring results can be adopted for the development of effective maintenance strategies.

Item Type: Article
Authors/Creators:Arzaghi, E and Abbassi, R and Garaniya, V and Binns, J and Chin, C and Khakzad, N and Reniers, G
Keywords: corrosion, fatigue, subsea pipelines, probabilistic mdoelling, dynamic bayesian network
Journal or Publication Title: Ocean Engineering: An International Journal of Research and Development
Publisher: Pergamon-Elsevier Science Ltd
ISSN: 0029-8018
DOI / ID Number: 10.1016/j.oceaneng.2017.12.014
Copyright Information:

© 2017 Elsevier

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