A Markov resilience assessment framework for tension leg platform under mooring failure

Jingyi Wu, Yang Yu, Jianxing Yu, Xueying Chang, Lixin Xu and Wenhao Zhang

Reliability Engineering and System Safety, 2023, vol. 231, issue C

Abstract: During the service life of Tension Leg Platform (TLP), it may be exposed to various risk, with mooring failure being one of the most catastrophic events. Resilience, as an integrated assessment philosophy, can evaluate the overall post-event response performance and further improve system's operation safety. In this paper, a Markov resilience assessment framework for TLP under mooring failure is firstly proposed. The failure process and recovery process are mathematically described by Markov process and continuous-time Markov process, respectively. The internal and external effect has been taken into account, including extreme environment, structural degradation, recovery process schedule and structural strength etc. The resilience assessment framework is developed by 2 aspects, including robustness and recovery resilience. Besides, an illustrative example is developed as a walk-through of proposed methodology. The applications here demonstrate the versatility of the Markov framework towards handling resilience problems with varying levels of complexity, especially the offshore structure systems.

Keywords: Markov models; Resilience; Mooring failure; Extreme ocean environment; Recovery; Single extreme event fatigue (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022005543

DOI: 10.1016/j.ress.2022.108939

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