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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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Dimitrov, Nikolay Krasimirov
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Topics
Publications (8/8 displayed)
- 2018Assessment and propagation of mechanical property uncertainties in fatigue life prediction of composite laminatescitations
- 2018Probabilistic analysis methods for support structures: Work Package - D74.2
- 2015Probabilistic fatigue life of balsa cored sandwich composites subjected to transverse shearcitations
- 2014Probabilistic Modelling of Fatigue Life of Composite Laminates Using Bayesian Inferencecitations
- 2013Reliability Analysis of a Composite Wind Turbine Blade Section Using the Model Correction Factor Method: Numerical Study and Validationcitations
- 2013Structural Reliability of Wind Turbine Blades
- 2012System reliability effects in wind turbine blades
- 2011Enforsing a system approach to composite failure criteria for reliability analysis
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article
Probabilistic fatigue life of balsa cored sandwich composites subjected to transverse shear
Abstract
A probabilistic fatigue life model for end-grain balsa cored sandwich composites subjectedto transverse shear is proposed. The model is calibrated to measured three-pointbending constant-amplitude fatigue test data using the maximum likelihood method. Some possible applications of the probabilistic model are obtaining characteristic S–Ncurves corresponding to a given survival probability, and calibrating partial safety factorsfor material fatigue. The latter is demonstrated by a calibration performed using reliability analysis with the first-order reliability method. The measured variance in balsa shearproperties, for both static strength and fatigue failure, is higher than the variance normallyobserved in the properties for fiber-reinforced polymer composite laminates. This could be attributed to the fact that end-grain balsa wood is the product of a naturally occurringgrowth process, which cannot be controlled to the same extent as an industrial manufacturing processes. The large variance in the probabilistic model for fatigue life is reflected in the corresponding calibrated partial safety factors, which are higher thanthe factors usually associated with synthetic materials such as fiber-reinforced laminates.