Inspection and maintenance planning for offshore wind structural components: integrating fatigue failure criteria with Bayesian networks and Markov decision processes

Nandar Hlaing, Pablo Gabriel Morato, Jannie Sønderkær Nielsen, Peyman Amirafshari, Kolios Athanasios, Philippe Rigo

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

Exposed to the cyclic action of wind and waves, offshore wind structures are subject to fatigue deterioration processes throughout their operational life, therefore constituting a structural failure risk. In order to control the risk of adverse events, physics-based deterioration models, which often contain significant uncertainties, can be updated with information collected from inspections, thus enabling decision-makers to dictate more optimal and informed maintenance interventions. The identified decision rules are, however, influenced by the deterioration model and failure criterion specified in the formulation of the pre-posterior decision-making problem. In this paper, fatigue failure criteria are integrated with Bayesian networks and Markov decision processes. The proposed methodology is implemented in the numerical experiments, specified with various crack growth models and failure criteria, for the optimal management of an offshore wind structural detail under fatigue deterioration. Within the experiments, the crack propagation, structural reliability estimates, and the optimal policies derived through heuristics and partially observable Markov decision processes (POMDPs) are thoroughly analysed, demonstrating the capability of failure assessment diagram to model the structural redundancy in offshore wind substructures, as well as the adaptability of POMDP policies.

OriginalsprogEngelsk
TidsskriftStructure & Infrastructure Engineering
Vol/bind18
Udgave nummer7
Sider (fra-til)983-1001
Antal sider19
ISSN1573-2479
DOI
StatusUdgivet - 2022

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