Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/31972
Title: Corrosion surface morphology-based methodology for fatigue assessment of offshore welded structures
Authors: Okenyi, Victor 
Afazov, Shukri 
Mansfield, Neil 
Eder, Martin Alexander 
Abrahamsen, Asger Bech 
Fæster, Søren 
Klingaa, Christopher Gottlieb 
Siegkas, Petros 
Bodaghi, Mahdi 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Corrosion characterization;Corrosion pits;Corrosion-based fatigue model;Endurance limit;Fatigue notch theory;Fatigue surface theory;S355 S-N curves;Stress concentration;Surface roughness;X-ray computed tomography
Issue Date: 1-Dec-2023
Source: Fatigue & Fracture of Engineering Materials & Structures, 2023, vol. 46, no. 12, 4663–4677
Volume: 46
Issue: 12
Start page: 4663
End page: 4677
Journal: Fatigue and Fracture of Engineering Materials and Structures 
Abstract: This 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.
URI: https://hdl.handle.net/20.500.14279/31972
ISSN: 14602695
DOI: 10.1111/ffe.14162
Rights: © The Authors. This is an open access article under the terms of the Creative Commons Attribution License.
Type: Article
Affiliation : Cyprus University of Technology 
University of Denmark 
Nottingham Trent University 
Danish Technological Institute 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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