| 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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Merzouki, Tarek
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024An efficient numerical model for free vibration of temperature-dependent porous FG nano-scale beams using a nonlocal strain gradient theory
- 2023Bending Responses of Bi-Directional Advanced Composite Nanobeams Using Higher Order Nonlocal Strain Gradient Theorycitations
- 2022Elastic stability of functionally graded graphene reinforced porous nanocomposite beams using two variables shear deformation
- 2022Bending analysis of functionally graded porous nanocomposite beams based on a non-local strain gradient theorycitations
- 2021A robust method for the reliability-based design optimization of shape memory alloy actuatorcitations
- 2020Surrogate models for uncertainty analysis of micro-actuatorcitations
- 2019An approach for the reliability-based design optimization of shape memory alloy structurecitations
- 2018Uncertainty analysis of an actuator for a shape memory alloy micro-pump with uncertain parameterscitations
- 2018Uncertainty analysis of an actuator for a shape memory alloy micro-pump with uncertain parameterscitations
- 2017Edge Effect on Nanoparticles of an Interconnect Alloy from the ABV Model
- 2013Contribution to the modeling of hydration and chemical shrinkage of slag-blended cement at early agecitations
- 2013Contribution to the modeling of hydration and chemical shrinkage of slag-blended cement at early agecitations
- 2012Finite Element analysis of a shape memory alloy actuator for a micropumpcitations
- 2012Finite Element analysis of a shape memory alloy actuator for a micropumpcitations
- 2010Coupling between measured kinematic fields and multicrystal SMA finite element calculationscitations
- 2010Coupling between measured kinematic fields and multicrystal SMA finite element calculationscitations
- 2009Coupling between experiment and numerical simulation of shape memory alloy multicrystalcitations
- 2009Coupling between experiment and numerical simulation of shape memory alloy multicrystalcitations
- 2009Dialogue entre expérience et simulation numérique pour un multicristal en alliage à mémoire de forme
- 2009Dialogue entre expérience et simulation numérique pour un multicristal en alliage à mémoire de forme
- 2008Experimental identification and micromechancial modeling of the behavior of a multicrystal out of shape memory alloy
Places of action
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article
Contribution to the modeling of hydration and chemical shrinkage of slag-blended cement at early age
Abstract
This paper presents a contribution to the modeling of the chemical shrinkage of the slag-blended cement paste (binder) at early age. Assuming that the chemical shrinkage is a direct result of hydration, the hydration modeling of slag-blended cement was studied by considering the interaction between the hydrations of blast furnace slag (BFS) and ordinary Portland cement. The reaction of BFS in the presence of calcium hydroxide CH (Portlandite) produced from the hydration of the cement was investigated. The kinetic hydration of cement was developed, and the volume phases in the cementitious material during the hydration process were calculated. The chemical shrinkage, which is the negative volume balance between the reactants and the products formed, is then calculated. In parallel with this numerical modeling, an experimental study was conducted to investigate the effect of slag’s addition (0%, 30%, 50% and 80%) on the heat of hydration and chemical shrinkage at early age (maturation up to 7 days). The proposed hydration model incorporates the effect of following variables; the chemical composition of the binder, the fineness, the water to binder ratio (w/b), the curing time and the temperature.