| 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
A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Components
Abstract
The fatigue strength of cast steel components is severely affected by manufacturing process-based bulk and surface imperfections. As these defect structures possess an arbitrary spatial shape, the utilization of local assessment methods is encouraged to design for service strength. This work applies the elastic–plastic strain energy density concept to study the fatigue strength properties of a high-strength cast steel alloy G12MnMo7-4+QT. A fatigue design limit curve is derived based on non-linear finite element analyses which merges experimental high-cycle fatigue results of unnotched and notched small-scale specimens tested at three different stress ratios into a unique narrow scatter band characterized by a scatter index of 1:TΔW¯¯¯¯(t)=2.43. A comparison to the linear–elastic assessment conducted in a preceding study reveals a significant improvement in prediction accuracy which is assigned to the consideration of the elastic–plastic material behaviour. In order to reduce computational effort, a novel approximation is presented which facilitates the calculation of the elastic–plastic strain energy density based on linear–elastic finite element results and Neuber’s concept. Validation of the assessment framework reveals a satisfying agreement to non-linear simulation results, showing an average root mean square deviation of only approximately eight percent in terms of total strain energy density. In order to study the effect of bulk and surface imperfections on the fatigue strength of cast steel components, defect-afflicted large-scale specimens are assessed by the presented elastic–plastic framework, yielding fatigue strength results which merge into the scatter band of the derived design limit curve. As the conducted fatigue assessment is based solely on linear–elastic two-dimensional simulations, the computational effort is substantially decreased. Within the present study, a reduction of approximately 400 times in computation time is observed. Hence, the established assessment framework presents an engineering-feasible method to evaluate the fatigue life of imperfective cast steel components based on rapid total strain energy density calculations.