Evaluation of 4-Year Atmospheric Corrosion of Carbon Steel, Aluminum, Copper and Zinc in a Coastal Military Airport in Greece

Titakis, Charalampos; Vassiliou, P.

doi:10.3390/cmd1010008

Cited by 7 publications

(3 citation statements)

References 50 publications

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“…In addition, they developed Damage Functions to know the damage that a metallic structure can suffer depending on weathering conditions. In the subsequent years, there have been local experimental studies to characterise this phenomenon, such as those in Greece [ 41 ] and the Czech Republic [ 42 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Corrosion Prediction of Weathered Galvanised Structures Using Machine Learning Techniques

et al. 2021

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Galvanised steel atmospheric corrosion is a complex multifactorial phenomenon that globally affects many structures, equipment, and sectors. Moreover, the International Organization of Standardization (ISO) standards require specific pollutant depositions values for any atmosphere classification or corrosion loss prediction result. The aim of this research is to develop predictive models to estimate corrosion loss based on easily worldwide available parameters. Experimental data from internationally validated studies were used for the data mining process, basing their characterisation on seven globally accessible qualitative and quantitative variables. Self-Organising Maps including both supervised and unsupervised layers were used to predict first-year corrosion loss, its corrosivity categories, and an uncertainty range. Additionally, a formula optimised with Newton’s method has been proposed for extrapolating these results to long-term results. The predictions obtained were compared with real values using Euclidean distances to know its similarity degree, offering high prediction performance. Specifically, evaluation results showed an average saving of up to 16% in coatings using these predictions. Therefore, using the proposed models reduces the uncertainty of the final structures state by predicting their material loss, avoiding initial over-dimensioning of structures, and meeting the principles of efficiency and sustainability, thus reducing costs.

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Section: Literature Reviewmentioning

confidence: 99%

Corrosion Prediction of Weathered Galvanised Structures Using Machine Learning Techniques

et al. 2021

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“…By contrast, the anion Cl − is associated with marine environments, which is supposed to be more relevant on a small island like Rapa Nui. Contaminants and exposure time also determine the corrosion products in different exposed metals and alloys [ 30 , [38] , [39] , [40] , [41] , [42] ]. This research focused on galvanized and non-galvanized low-carbon steels, which are materials that react with atmospheric components forming hydroxides and oxides.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric corrosion and impact toughness of steels: Case study in steels with and without galvanizing, exposed for 3 years in Rapa Nui Island

Vera

Valverde

Olave

et al. 2023

Heliyon

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“…Even assuming proper supervision of transport, warehousing and storage environmental influence on the wires is difficult to avoid. This is a threat especially in the extreme conditions prevailing in the maritime industry characterized by high humidity, the presence of salt and often variable temperature values [ 20 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Plasticity of Bead-on-Plate Welds Made with the Use of Stored Flux-Cored Wires for Offshore Applications

Świerczyńska

Landowski

2020

Materials

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Extreme atmospheric conditions in the marine and offshore industry are harmful to engineering materials, especially to welded joints, and may cause degradation of their properties. This article presents the results of research on the plasticity of bead-on-plate welds made using two types of seamless, copper plated flux-cored wires. Before welding, spools with wire were stored for 1 month in two distinct locations with different geographical and industrial conditions in Poland, and then subjected to visual examination. Bead-on-plate welds were subjected to a static tensile test and on this basis plasticity indexes showing the effect of storage on plasticity were determined. The fractures after tensile tests and the surfaces of the wires were examined on an electron scanning microscope. Additionally, diffusible hydrogen content in deposited metal measurements for each condition were carried out. The highest degradation level was found for wire stored in an agricultural building in north-eastern Poland—there was an almost fourfold decrease in the plasticity index value and the highest diffusible hydrogen content. For the same wire and the same location, the largest difference was also observed in fracture morphology after the tensile test—ductile fracture was obtained for wire at delivery condition while an almost full cleavage fracture was found after relatively short (1 month) storage of wire.

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Evaluation of 4-Year Atmospheric Corrosion of Carbon Steel, Aluminum, Copper and Zinc in a Coastal Military Airport in Greece

Cited by 7 publications

References 50 publications

Corrosion Prediction of Weathered Galvanised Structures Using Machine Learning Techniques

Corrosion Prediction of Weathered Galvanised Structures Using Machine Learning Techniques

Atmospheric corrosion and impact toughness of steels: Case study in steels with and without galvanizing, exposed for 3 years in Rapa Nui Island

Plasticity of Bead-on-Plate Welds Made with the Use of Stored Flux-Cored Wires for Offshore Applications

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