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dc.contributor.authorGarbatov, Yordan
dc.contributor.authorGuedes Soares, C.
dc.date.accessioned2019-03-17T11:22:38Z
dc.date.available2019-03-17T11:22:38Z
dc.date.copyright1/17/2019 12:00:00 AM
dc.date.issued2019
dc.identifier.issn0892-7219
dc.identifier.otheromae_141_03_031602.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256930
dc.description.abstractThe objective of the present study is to identify the most suitable corrosion degradation model, fitted with real corrosion depth measurement data sets and to reproduce the corroded steel plate surface as a function of time and spatial distribution using advanced statistical methods. An approach for adequately identifying the best-fitted model to real corrosion depth measurement data sets is employed. Two distinct statistical methods for generating a statistical representation of a corroded plate surface in the case of significant and insignificant correlation of the corrosion degradation are provided. A sequence-dependent data analysis is performed based on the fast Fourier transform, which is used as an input for a random field modeling of corroded steel plate surfaces. The output of this study represents very important information about the corroded plate surface topology that can be used in any advanced finite element analyses of structural integrity assessment. The formulations can be adapted to any structural components and corrosion environments.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleSpatial Corrosion Wastage Modeling of Steel Plates Exposed to Marine Environments
dc.typeJournal Paper
dc.journal.volume141
dc.journal.issue3
dc.journal.titleJournal of Offshore Mechanics and Arctic Engineering
dc.identifier.doi10.1115/1.4041991
dc.journal.fristpage31602
dc.journal.lastpage031602-6
dc.treeJournal of Offshore Mechanics and Arctic Engineering:;2019:;volume( 141 ):;issue: 003
dc.contenttypeFulltext


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