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Reliability assessment of marine floating structures using Bayesian network

Citation

Abaei, MM and Abbassi, R and Garaniya, V and Chai, S and Khan, F, Reliability assessment of marine floating structures using Bayesian network, Applied Ocean Research, 76 pp. 51-60. ISSN 0141-1187 (2018) [Refereed Article]

Copyright Statement

2018 Elsevier Ltd. All rights reserved.

Official URL: https://www.sciencedirect.com/science/article/pii/...

DOI: doi:10.1016/j.apor.2018.04.004

Abstract

Marine floating structures are widely used in various fields of industry from oil and gas to renewable energy. The predominant dynamic responses of these structures are controlled by mooring lines. In recent years, a number of high-profile mooring failures have highlighted the high risk of this element in floating structures. A reliable design of mooring lines is necessary to improve the safety of offshore operations. This paper proposes a novel methodology to conduct reliability analysis of moored floating structures using Bayesian network (BN). The long-term distributions of extreme responses of the floating object are estimated using analytical frequency domain method, while mooring failure probability is estimated using limit state function in the proposed BN framework. Application of the methodology is demonstrated by estimating the failure probabilities of a floating cylinder with tensioned mooring system. The proposed study also explains how the hydrodynamic and reliability analysis could be integrated with BN to assess the overall safety of the offshore structures. The methodology presented can be employed to mitigate associated risk with marine structures brought about by stochastic hydrodynamic loads.

Item Details

Item Type:Refereed Article
Keywords:Bayesian network, reliability, hydrodynamics, floating structures, mooring system
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Ocean Engineering
Objective Division:Energy
Objective Group:Mining and Extraction of Energy Resources
Objective Field:Oil and Gas Extraction
UTAS Author:Abaei, MM (Mr Mohammad Abaei)
UTAS Author:Garaniya, V (Dr Vikram Garaniya)
UTAS Author:Chai, S (Professor Shuhong Chai)
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:125632
Year Published:2018
Web of Science® Times Cited:4
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2018-04-26
Last Modified:2019-07-31
Downloads:0

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