Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/31972
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dc.contributor.authorOkenyi, Victor-
dc.contributor.authorAfazov, Shukri-
dc.contributor.authorMansfield, Neil-
dc.contributor.authorEder, Martin Alexander-
dc.contributor.authorAbrahamsen, Asger Bech-
dc.contributor.authorFæster, Søren-
dc.contributor.authorKlingaa, Christopher Gottlieb-
dc.contributor.authorSiegkas, Petros-
dc.contributor.authorBodaghi, Mahdi-
dc.date.accessioned2024-03-01T08:41:15Z-
dc.date.available2024-03-01T08:41:15Z-
dc.date.issued2023-12-01-
dc.identifier.citationFatigue & Fracture of Engineering Materials & Structures, 2023, vol. 46, no. 12, 4663–4677en_US
dc.identifier.issn14602695-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/31972-
dc.description.abstractThis work employed a novel corrosion-based fatigue model to determine the fatigue life of offshore welded structures to enable the fatigue assessment of welds under corrosive conditions. In addition to the material's ultimate strength, endurance limit, and stress ratio (mean stress effect), the model includes a corrosion factor concept to account for the impact of corrosion pits on the fatigue performance of welded S355 steel, which is the novel contribution in this paper. X-ray computed tomography scans of corroded S355 specimens in a salt spray chamber were characterized. Surface texture characterization was employed to obtain surface roughness, size, and aspect ratio of corrosion pits. The corrosion factor was determined based on notch and surface fatigue theories using the characterized pit size, aspect ratio, and surface roughness. Fatigue S-N curves were then predicted for critical pits and compared against the fatigue code DNVGL-RP-C203 and experimental data from the literature. The novel approach combining corrosion characterization method with corrosion-based fatigue model for the prediction of fatigue S-N curves provided a minor deviation of only 2.8% between predicted and measured data. This approach can potentially be integrated into predictive frameworks for the remaining life assessment of offshore structures.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofFatigue and Fracture of Engineering Materials and Structuresen_US
dc.rights© The Authors. This is an open access article under the terms of the Creative Commons Attribution License.en_US
dc.subjectCorrosion characterizationen_US
dc.subjectCorrosion pitsen_US
dc.subjectCorrosion-based fatigue modelen_US
dc.subjectEndurance limiten_US
dc.subjectFatigue notch theoryen_US
dc.subjectFatigue surface theoryen_US
dc.subjectS355 S-N curvesen_US
dc.subjectStress concentrationen_US
dc.subjectSurface roughnessen_US
dc.subjectX-ray computed tomographyen_US
dc.titleCorrosion surface morphology-based methodology for fatigue assessment of offshore welded structuresen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Denmarken_US
dc.collaborationNottingham Trent Universityen_US
dc.collaborationDanish Technological Instituteen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.countryDenmarken_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1111/ffe.14162en_US
dc.identifier.scopus2-s2.0-85173473843-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85173473843-
dc.relation.issue12en_US
dc.relation.volume46en_US
cut.common.academicyear2023-2024en_US
dc.identifier.spage4663en_US
dc.identifier.epage4677en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.journal.journalissn1460-2695-
crisitem.journal.publisherWiley-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-9528-2247-
crisitem.author.parentorgFaculty of Engineering and Technology-
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