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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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Chaudhuri, S.
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Publications (6/6 displayed)
- 2024Investigation of the effect of pitting corrosion on the fatigue strength degradation of structural steel using a short crack model
- 2023Quantitative analysis of the correlation between geometric parameters of pits and stress concentration factors for a plate subject to uniaxial tensile stresscitations
- 2021Half metallicity in Cr substituted Fe 2 TiSncitations
- 2015Templated growth of II-VI semiconductor optical fiber devices and steps towards infrared fiber lasers
- 2014Capacitively coupled electrolyte-conductivity sensor based on high-k material of barium strontium titanatecitations
- 2005Photoluminescence and Raman study of CdS-Al 2O 3 nanocomposite films prepared by sol-gel techniquescitations
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article
Quantitative analysis of the correlation between geometric parameters of pits and stress concentration factors for a plate subject to uniaxial tensile stress
Abstract
The offshore environment is inherently corrosive. Consequently, pits may nucleate on exposed steel surfaces. Corrosion pits can be a source of crack initiation when the structure is subject to fatigue loading. The criticality of a corrosion pit with respect to the structural integrity depends on its shape and size and can be quantified using a stress concentration factor ( ). In this work, a parametric 3D finite element model is developed to perform stress analysis of a pitted plate subjected to uniaxial tensile stress. The model is used for an extensive parameter study in whichis determined for various pit configurations. It is demonstrated that each one of the geometric parameters holds a substantial influence on the location of the Most Critical Region (MCR). It is shown thatincreases as the pit gets narrower. Pits with an elliptical mouth yield highervalues when the angle between the load direction and the pit mouth major axis increases. Moreover,increases with the increase in the localized thickness loss which is more pronounced for relatively wider pits. Finally, a regression model is presented for estimatingbased on the geometric parameters of a pit.