Numerical analysis of the correlation between the pitting severity and surface roughness of corroded specimens

Nugroho, Firman A.; Garhuom, Wadhah; Andresen-Paulsen, Gyde; Ehlers, Sören

doi:10.1080/17445302.2021.2016270

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…Deep pits show higher stress concentrations, and the characteristics of corrosion pits or localized corrosion behavior can be fundamentally understood through skewness and kurtosis assessments. 56,57 Statistical analysis of the probability distributions have been employed as a valuable tool in understanding corrosion pits, which also involved time. This research establishes a connection between the pit characterization, the localized stresses, and its relationship to cyclic loading under corrosive conditions.…”

Section: Introductionmentioning

confidence: 99%

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Corrosion surface morphology‐based methodology for fatigue assessment of offshore welded structures

Okenyi,

Afazov,

Mansfield

et al. 2023

Fatigue Fract Eng Mat Struct

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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.

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Section: Introductionmentioning

confidence: 99%

“…Also, significant volumetric changes are observed over time, signifying the transition from pits to more uniform corrosion. Deep pits show higher stress concentrations, and the characteristics of corrosion pits or localized corrosion behavior can be fundamentally understood through skewness and kurtosis assessments 56,57 …”

Section: Introductionmentioning

confidence: 99%

Corrosion surface morphology‐based methodology for fatigue assessment of offshore welded structures

Okenyi,

Afazov,

Mansfield

et al. 2023

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…Preparation on the surface of the machining part is another important aspect to improve the interfacial bond strength between the coating and part [14]. In machining processes, it is necessary to attain the desired surface quality in order to produce parts providing the required functioning [15].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Interfacial Bonding Strength of Al-Zn-Si Alloy between Substrates with Linear Surface Roughness and Its Coating

Man

et al. 2023

Coatings

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Interfacial bonding strength between the substrate and its coating is one of the important indexes affecting the service life of parts. To reduce the manufacturing cost, a mathematical model can be established to quantitatively describe the microscopic surface roughness and its anti-corrosion coating adhesion strength. Anti-corrosion life could be improved by controlling the surface roughness of the substrate. In this study, a model of interfacial bond strength and roughness, which was calibrated using the substrate surface and closely related to the cell spacing and length of the support, was established. Under the same condition as the coating, component materials and the coating thickness, results were obtained that the coating strength changed along with the substrate roughness. When roughness changed between 37.1 μm and 48.4 μm, the bonding strength showed a decreasing trend. The larger the value of the roughness, the more conducive it was to the bonding between the arc spraying layer and the substrate. The adhesion between the coating and substrate was not always increased with the higher roughness on the same surface. It should be evaluated based on the surface roughness and its evaluation parameters, and there was an optimal roughness evaluation and selection range. The experimental results were consistent with the theoretical predictions.

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2024

Corrosion and Corrosion Protection of Wind Power Structures in Marine Environments

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Numerical analysis of the correlation between the pitting severity and surface roughness of corroded specimens

Cited by 4 publications

References 43 publications

Corrosion surface morphology‐based methodology for fatigue assessment of offshore welded structures

Corrosion surface morphology‐based methodology for fatigue assessment of offshore welded structures

Modeling the Interfacial Bonding Strength of Al-Zn-Si Alloy between Substrates with Linear Surface Roughness and Its Coating

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