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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Akid, R.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2022Effects of Testing Parameters on the Susceptibility to Hydrogen Embrittlement in Precipitation-Hardened Nickel-Based Alloys : the Role of Continuous Strainingcitations
- 2021The antimicrobial activity and biocompatibility of a controlled gentamicin-releasing single-layer sol-gel coating on hydroxyapatite-coated titanium
- 2020Characterising hydrogen induced cracking of alloy 625+ using correlative SEM - EDX and NanoSIMScitations
- 2018Corrosion-fatiguecitations
- 2018Corrosion-fatigue:a review of damage tolerance modelscitations
- 2017Efficiency of cationic gemini surfactants with 3-azamethylpentamethylene spacer as corrosion inhibitors for stainless steel in hydrochloric acidcitations
- 2017Corrosion-fatigue:a review of damage tolerance modelscitations
- 2014Low cycle fatigue behaviour of APL 5L X65 pipeline steel at room temperature.citations
- 2014Internal corrosion assessment of the Otter oil production spool.citations
- 2013Corrosion resistance properties of hybrid organic–inorganic epoxy–amino functionalised polysiloxane based coatings on mild steel in 3·5%NaCl solutioncitations
- 2013A comparison of selected inhibitor doped sol-gel coating systems for the protection of mild steel.
- 2013Effect of temperature on passive film formation of UNS N08031 Cr–Ni alloy in phosphoric acid contaminated with different aggressive anionscitations
- 2013Effect of temperature on passive film formation of UNS N08031 Cr-Ni alloy in phosphoric acid contaminated with different aggressive anionscitations
- 2012Study of the sensitisation of a highly alloyed austenitic stainless steel, Alloy 926 (UNS N08926), by means of scanning electrochemical microscopycitations
- 2011A cellular automaton model for predicting intergranular corrosion
- 2010Conversion coatings for zinc electrodeposits from modified molybdate solutionscitations
- 2010Biotic sol-gel coating for the inhibition of corrosion in seawatercitations
- 2008A cellular automaton based model for predicting intergranular corrosion in aerospace alloys
- 2008Model-based prognosis for intergranular corrosion
- 2006Fatigue damage accumulation: The role of corrosion on the early stages of crack developmentcitations
- 2005Tribocorrosion testing of stainless steel (SS) and PVD coated SS using a modified scanning reference electrode techniquecitations
- 2005Analysis of the effects of exfoliation corrosion on the fatigue behaviour of the 2024-T351 aluminium alloy using the fatigue damage mapcitations
- 2004Surface characterisation studies of CrVI and CrIII electroplated carbon steel samples
- 2001A comparison between conventional macroscopic and novel microscopic scanning electrochemical methods to evaluate galvanic corrosioncitations
- 2001A comparison between conventional macroscopic and microscopic scanning electrochemical methods to evaluate galvanic corrosioncitations
- 2000Empirical corrosion fatigue life prediction models of a high strength steelcitations
Places of action
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article
Corrosion-fatigue
Abstract
<p>The synergistic combination of mechanical fatigue stresses and environmental agents acting together can be more detrimental than that of the summation of the contributions of each mechanism acting separately. Major attempts to understand the contribution of the different agents (microstructure, chemical composition of environment, temperature, loading conditions, etc.) have been reported in the literature. Nevertheless, current knowledge is insufficient to address life estimation with a sound physical basis from the initiation of localised corrosion (such as pitting) to the estimation of crack propagation. Major simplifications and assumptions have been required in the development of life prediction methodologies. This paper reviews recent efforts made by the different interested parties, in both academia and industry, in the development of corrosion fatigue (CF) lifetime prediction procedures. The paper mainly focuses on the methodologies proposed in the literature for oil and gas, nuclear, energy generation and aerospace applications, dealing with pitting CF damage in aluminium alloys, carbon and stainless steels. The transition of a pit into a small crack (SC) and its growth is influenced by the interaction of the pit stress/strain concentration and the local environmental conditions, making the modelling of this stage of the utmost complexity. A major trend in the models reviewed in this paper is to simplify the analysis by assuming the pit (a volumetric defect) as a sharp crack, decouple the CF problem and account for the mechanical and environmental contributions separately. These procedures heavily rely on fitting experimental data and exhibit low generality in terms of application to varying system conditions. There is a clear opportunity in this field to develop mechanistically based methodologies, considering the inherent dependence of the damage mechanism on the interaction of environmental, metallurgical and mechanical features, allowing more realistic lifetime estimates and defect tolerance arguments, where pit-to-crack transition and SC initiation stages pose a significant challenge. Abbreviation: ASME: American Society of Mechanical Engineers; API: American Petroleum Institute; BP: British Petroleum; BS: British Standards; BWR: Boiling Water Reactor; CF: Corrosion fatigue; DNV: Det Norske Veritas; FCGR: Fatigue crack growth rate; FCI: Fatigue crack initiation; FCP: Fatigue crack propagation; FFS: Fitness for service; HA: Hydrogen assisted; HRR: Hutchinson, Rice and Rosengren stress fields; LC: Long crack; LEFM: Linear Elastic Fracture Mechanics; S-N: Stress vs. number of cycles.</p>