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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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Horvath, Michael
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2023Effect of Surface Finishing State on Fatigue Strength of Cast Aluminium and Steel Alloyscitations
- 2023Study of Local Fatigue Methods (TCD, N-SIF, and ESED) on Notches and Defects Related to Numerical Efficiencycitations
- 2023Energy-Based Fatigue Assessment of Defect-Afflicted Cast Steel Components by Means of a Linear-Elastic Approachcitations
- 2023A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Componentscitations
- 2022Fatigue strength study based on geometric shape of bulk defects in cast steelcitations
- 2019Notch Stress Intensity Factor (NSIF)-Based Fatigue Design to Assess Cast Steel Porosity and Related Artificially Generated Imperfectionscitations
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article
Fatigue strength study based on geometric shape of bulk defects in cast steel
Abstract
This work applies Taylor’s Theory of Critical Distances (TCD) to assess the fatigue strength of defect-afflicted cast steel components made of G21Mn5+N. Based on radiographs of complexly shaped spatial imperfections, the established TCD-framework leads to a sound agreement of numerical and experimental fatigue strength. Moreover, a novel fatigue assessment methodology is presented, which bases on the projected planar defect shape, featuring an engineering-feasible design method without the need of extensive numerical simulations. About one-hundred additional imperfections referring to ASTM E446 class A and C validate the model, showing an average deviation of about five percent in fatigue strength.