| 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
Probabilistic S-N curves for CFRP retrofitted steel details
Abstract
Experimental fatigue data of non-cracked open-hole steel specimens retrofitted with bonded carbon fiber reinforced polymer (CFRP) are collected from the literature and assessed in this paper. The specimens are representative of steel plates in tensile riveted or bolted connections. The CFRP substantially extends the fatigue life of specimens at stress range ?? < 220 MPa where the fatigue data points converge towards a fatigue limit. These are promising results since most of the ancient metallic riveted assemblies are subjected to stress levels below 150 MPa. The fatigue life extension ratio decreases when the stress level increases due to the fatigue degradation of the bonding joint and/or the CFRP. The fatigue data of specimens retrofitted with CFRP follow a nonlinear trend and code-based linear S-N curves with a slope m = 3 do not capture this behavior. The commonly used methods that assume the fatigue life extension ratio as constant are not adequate to predict the full fatigue life of CFRP retrofitted specimens. To assess the fatigue behavior of the CFRP retrofitted specimens, probabilistic methods are adopted in this study using: the Normal distribution; the two-parameter Weibull; the Gumbel; and the three-parameter Weibull model developed by Castillo & Fern?andez-Canteli (CFC). Regardless of the assumed distribution function, linear probabilistic S-N curves (P-S-N) are not adequate to model the complex behavior of retrofitted specimens with CFRP. The nonlinear CFC model fitted fairly well the different trends of the fatigue data including the fatigue life at high cycle regime and captured the transition between medium?high cycle range. P-S-N curves derived using the CFC model are proposed for CFRP retrofitted specimens.