| 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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De Jesus, Abílio M. P.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2023A Predictive Methodology for Temperature, Heat Generation and Transfer in Gigacycle Fatigue Testingcitations
- 2023Experimental parametric investigation on the behavior of adhesively bonded CFRP/steel jointscitations
- 2022Fatigue crack growth modelling by means of the strain energy density-based Huffman model considering the residual stress effectcitations
- 2022Fracture Characterization of Hybrid Bonded Joints (CFRP/Steel) for Pure Mode Icitations
- 2022Automation of Property Acquisition of Single Track Depositions Manufactured through Direct Energy Depositioncitations
- 2022A review of fatigue damage assessment in offshore wind turbine support structurecitations
- 2022Tensile Properties of As-Built 18Ni300 Maraging Steel Produced by DEDcitations
- 2021Probabilistic S-N curves for CFRP retrofitted steel detailscitations
- 2021Low-cycle fatigue modelling supported by strain energy density-based Huffman model considering the variability of dislocation densitycitations
- 2020Multiaxial fatigue assessment of S355 steel in the high-cycle region by using Susmel's criterioncitations
- 2020Study of the Fatigue Crack Growth in Long-Term Operated Mild Steel under Mixed-Mode (I plus II, I plus III) Loading Conditionscitations
- 2018Energy response of S355 and 41Cr4 steel during fatigue crack growth processcitations
Places of action
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article
A Predictive Methodology for Temperature, Heat Generation and Transfer in Gigacycle Fatigue Testing
Abstract
Recently, a trend in fatigue testing related to increasing excitation frequencies during experiments has been observed. This tendency is a product of both necessity and available technological capabilities. Regarding the last, advances in control and excitation systems made it possible to perform tests at impressive frequencies, beyond the tenths of kHz. Performing fatigue tests much faster is indeed very motivating, representing less time and money spent. On the other hand, such high testing frequencies create some challenges, such as the requirement of measurement systems capable of working with high sample rates and excessive heat generation on the testing samples. The last one is especially critical for fatigue once the mechanical properties, such as the elasticity modulus and yield strength, are highly dependent on the temperature. Therefore, being able to predict and control the sample temperature during fatigue testing is essential. The main goal of the present work is to provide a formulation for estimating the heat generation and specimen temperature during high frequency testing, namely in the ultra-high cycle fatigue (UHCF) regime. Several metallic alloys and specimen geometries were tested, and the model results were compared with experimental temperature measurements. The developed model was able to properly characterize the temperature trend over time. In addition, a script was developed and made publicly available. © 2023 by the authors.