| 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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Belis, Jan
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024Experimental study on the thermal performance of soda-lime-silica glass by radiant panel testing
- 2024Experimental Work on Thick Epoxy Adhesive Bonds for Glass-Steel Joints in a Ship
- 2024Laser micromachined 3D glass photonics platform demonstrated by temperature compensated strain sensorcitations
- 2024Point-fixed connections in structural glass with injection mortar infill : experimental investigation and numerical simulationscitations
- 2024Investigation of the structural performance of continuous adhesive glass-metal connections using structural silicone and hybrid polymer adhesivescitations
- 2023Multi-physics modelling of concrete shrinkage with the lattice discrete particle model considering the volume of aggregates
- 2023Multi-physics modelling of moisture diffusion in the FRP-concrete adhesive jointscitations
- 2023Probability density function models for float glass under mechanical loading with varying parameterscitations
- 2022Experimental strength characterisation of thin chemically pre-stressed glass based on laser-induced flawscitations
- 2022Experimental investigation into the effect of elevated temperatures on the fracture strength of soda-lime-silica glasscitations
- 2021Effect of loading rate, surface flaw length and orientation on strength of laser-modified architectural glass
- 2019Architectural Glasscitations
- 2018Experimental investigation into the effects of membrane action for continuous reinforced glass beam systemscitations
- 2013Ratio of mirror zone depth to flaw depth after failure of glass beams
- 2013Experimental assessment of polymers in glass constructions
- 2013Stress corrosion parameters for glass with different edge finishing
- 2013Thermal breakage of glass
- 2011Development of structural adhesive point-fixings
- 2011The problem of a failure criterion for glass-metal adhesive bonds
- 2009Experimental material determination of viscoelastic glass/ionomer laminates
Places of action
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article
Probability density function models for float glass under mechanical loading with varying parameters
Abstract
Glass as a construction material has become indispensable and is still on the rise in the building industry. However, there is still a need for numerical models that can predict the strength of structural glass in different configurations. The complexity lies in the failure of glass elements largely driven by pre-existing microscopic surface flaws. These flaws are present over the entire glass surface, and the properties of each flaw vary. Therefore, the fracture strength of glass is described by a probability function and will depend on the size of the panels, the loading conditions and the flaw size distribution. This paper extends the strength prediction model of Osnes et al. with the model selection by the Akaike information criterion. This allows us to determine the most appropriate probability density function describing the glass panel strength. The analyses indicate that the most appropriate model is mainly affected by the number of flaws subjected to the maximum tensile stresses. When many flaws are loaded, the strength is better described by a normal or Weibull distribution. When few flaws are loaded, the distribution tends more towards a Gumbel distribution. A parameter study is performed to examine the most important and influencing parameters in the strength prediction model.