| People | Locations | Statistics |
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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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Stoschka, Michael
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 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
- 2022Optimization of disc geometry and hardness distribution for better transferability of fatigue life prediction from disc to FZG testscitations
- 2022Fatigue strength study based on geometric shape of bulk defects in cast steelcitations
- 2022A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approachcitations
- 2020Areal fatigue strength assessment of cast aluminium surface layerscitations
- 2020Validation Study on the Statistical Size Effect in Cast Aluminiumcitations
- 2019Notch Stress Intensity Factor (NSIF)-Based Fatigue Design to Assess Cast Steel Porosity and Related Artificially Generated Imperfectionscitations
- 2019Evaluation of surface roughness parameters and their impact on fatigue strength of Al-Si cast materialcitations
- 2019On the Statistical Size Effect of Cast Aluminiumcitations
- 2019Numerical crack growth study on porosity afflicted cast steel specimenscitations
- 2019Short and long crack growth of aluminium cast alloyscitations
- 2018Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperaturecitations
- 2018Lifetime assessment of cast aluminium components based on CT-evaluated microstructural defects
- 2018Fatigue strength characterization of Al-Si cast material incorporating statistical size effectcitations
- 2018Surface topography effects on the fatigue strength of cast aluminum alloy AlSi8Cu3citations
- 2018Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloyscitations
- 2017Fatigue assessment of welded and high frequency mechanical impact (HFMI) treated joints by master notch stress approachcitations
- 2017Simulation of lamellar cast iron components under TMF-loadscitations
- 2017Microporosity and statistical size effect on the fatigue strength of cast aluminium alloys EN AC-45500 and 46200citations
- 2016Application studies for fatigue strength improvement of welded structures by high-frequency mechanical impact (HFMI) treatmentcitations
- 2016Effect of weld defects on the fatigue strength of ultra high-strength steelscitations
- 2015Fatigue Strength of HFMI-treated and Stress-relief Annealed High-strength Steel Weld Jointscitations
- 2014Fatigue enhancement of thin-walled, high-strength steel joints by high-frequency mechanical impact treatmentcitations
- 2009Influence of welding process parameters on fatigue life by local sub-modelling
- 2009Introduction to an approach based on the (α+β) microstructure of elements of alloy Ti-6Al-4Vcitations
- 2007Fatigue analysis of forged aerospace components based on micro structural parameters
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article
On the Statistical Size Effect of Cast Aluminium
Abstract
Manufacturing process based imperfections can reduce the theoretical fatigue strength since they can be considered as pre-existent microcracks. The statistical distribution of fatigue fracture initiating defect sizes also varies with the highly-stressed volume, since the probability of a larger highly-stressed volume to inherit a potentially critical defect is elevated. This fact is widely known by the scientific community as the statistical size effect. The assessment of this effect within this paper is based on the statistical distribution of defect sizes in a reference volume V 0 compared to an arbitrary enlarged volume Vα. By implementation of the crack resistance curve in the Kitagawa-Takahashi diagram, a fatigue assessment model, based on the volume-dependent probability of occurrence of inhomogeneities, is set up, leading to a multidimensional fatigue assessment map. It is shown that state-of-the-art methodologies for the evaluation of the statistical size effect can lead to noticeable over-sizing in fatigue design of approximately 10%. On the other hand, the presented approach, which links the statistically based distribution of defect sizes in an arbitrary highly-stressed volume to a crack-resistant dependent Kitagawa-Takahashi diagram leads to a more accurate fatigue design with a maximal conservative deviation of 5% to the experimental validation data. Therefore, the introduced fatigue assessment map improves fatigue design considering the statistical size effect of lightweight aluminium cast alloys.