The state-of-the-art in modelling the influence of corrosion damage on the ultimate strength of aged steel-plated maritime platforms is reviewed. This critical review outlines the corrosion mechanisms and fundamentals of steel-plated structures in the marine environment. Recent developments in mathematical modelling strategies, in association with in situ thickness measurements, have significantly enhanced the qualitative understanding of the corrosion processes at various locations within marine structures. Based on the corrosion prediction, both experimental and numerical methods have been adopted to realistically assess the ultimate strength of such corroded steel ship structures, in order to ultimately improve the survey and repair strategies. We recommend that the overall quality of a corrosion model can be determined from two key aspects: (i) researchers seek models which are able to fully reflect the physical phenomenon by considering a number of variables and uncertainties and (ii) from an industry perspective where a corrosion model should be capable of predicting corrosion loss as accurately as possible given the fewest conditions. Thus, greater effort on corrosion prediction for marine structures is necessary to simplify the procedure based on a more comprehensive understanding of the underlying principles and the extensive information provided by a ship survey.
Ultimate strength analysis of aged steel-plated structures exposed to marine corrosion damage: A review
Bruchfestigkeitsanalyse von gealterten gepanzerten Konstruktionen nach Schädigung durch Meereskorrosion: Ein Überblick
Corrosion Science ; 86 ; 42-60
2014
19 Seiten, 10 Bilder, 11 Tabellen, 129 Quellen
Article (Journal)
Estonian
kohlenstoffreicher Stahl , Off-Shore-Anlage , Meerestechnik , Schiffsbau , Korrosionsschaden , Bruchgrenze , Festigkeitsverlust , Korrosionsmechanismus , Lochfraßkorrosion , Schweißverbindung , organischer Überzug , mathematische Modellierung , Modelluntersuchung , Dickenmessung , numerisches Verfahren , Reparatursystem , Instandhaltung , Vorhersagemodell
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