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

Citation

Arzaghi, E and Abbassi, R and Garaniya, V and Binns, J and Chin, C and Khakzad, N and Reniers, G, Developing a dynamic model for pitting and corrosion-fatigue damage of subsea pipelines, Ocean Engineering: An International Journal of Research and Development, 150 pp. 391-396. ISSN 0029-8018 (2018) [Refereed Article]

Copyright Statement

2017 Elsevier

DOI: doi:10.1016/j.oceaneng.2017.12.014

Abstract

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 Details

Item Type:Refereed Article
Keywords:corrosion, fatigue, subsea pipelines, probabilistic mdoelling, dynamic bayesian network
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Marine Engineering
Objective Division:Mineral Resources (excl. Energy Resources)
Objective Group:Environmentally Sustainable Mineral Resource Activities
Objective Field:Environmentally Sustainable Mineral Resource Activities not elsewhere classified
UTAS Author:Arzaghi, E (Mr Ehsan Arzaghi)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Garaniya, V (Dr Vikram Garaniya)
UTAS Author:Binns, J (Professor Jonathan Binns)
UTAS Author:Chin, C (Dr Chris Chin)
UTAS Author:Khakzad, N (Dr Nima Khakzad)
ID Code:123142
Year Published:2018 (online first 2017)
Web of Science® Times Cited:6
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-12-18
Last Modified:2018-04-19
Downloads:0

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