2020
DOI: 10.1016/j.marstruc.2020.102718
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An overview of maintenance management strategies for corroded steel structures in extreme marine environments

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

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Cited by 133 publications
(39 citation statements)
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References 168 publications
(200 reference statements)
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“…The level of corrosion of the armour is relative to the aggressiveness of the environment in the maritime exposure zones. Depending on the different levels of aggressiveness, different pathologies will develop that affect to different degrees the elements that make up the infrastructure [ 20 , 21 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The level of corrosion of the armour is relative to the aggressiveness of the environment in the maritime exposure zones. Depending on the different levels of aggressiveness, different pathologies will develop that affect to different degrees the elements that make up the infrastructure [ 20 , 21 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Also, ANN can be used to develop transfer functions that can be used to estimate the ocean current velocities along the length of the marine drilling riser [118] to evaluate the Flapwise Blade roof bending moments [119] , [120] . [121] proposes the monitoring of human fatigue during a marine operation, ANN is used to maintain marine assets such as ship structures, offshore renewable energy platforms, and subsea oil and gas facilities [122] . A prediction approach based on a backpropagation neural network is proposed to evaluate the stress of floating, production, storage, and offloading (FPSO) units at different oil storage conditions [123] , [124] , [125] .…”
Section: Fatiguementioning
confidence: 99%
“…The development and application of operating models of energy asset management that are used as part of risk-based strategies depends a lot on the specific features of investment processes in an energy company, as well as its preparedness for change. We shall take a look at the evolution of those models [7], [14].…”
Section: Operating Models Of Asset Management In Energy Companiesmentioning
confidence: 99%