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Integrated probabilistic modelling of pitting and corrosion fatigue damage of subsea pipelines


Arzaghi, E and Abbassi, R and Garaniya, V and Binns, J and Khakzad, N and Reniers, G, Integrated probabilistic modelling of pitting and corrosion fatigue damage of subsea pipelines, Proceedings of the 3rd Workshop and Symposium on Safety and Integrity Management of Operations in Harsh Environments (C-RISE3), 18-20 October 2017, St John's, NL, Canada, pp. 1-6. (2017) [Refereed Conference Paper]

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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 corrosion-fatigue phenomena should be considered simultaneously for prognosis. This process that starts with pitting nucleation, transits to fatigue damage and leads to fracture, 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 processes. 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 Conference Paper
Keywords:corrosion-fatigue, probabilistic modelling, dynamic Bayesian network, subsea pipelines
Research Division:Engineering
Research Group:Environmental engineering
Research Field:Air pollution modelling and control
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)
ID Code:122138
Year Published:2017
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-11-02
Last Modified:2018-04-19
Downloads:45 View Download Statistics

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