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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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Bellis, Maria Laura De
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Topics
Publications (7/7 displayed)
- 2023Electrically-tunable active metamaterials for damped elastic wave propagation controlcitations
- 2022Asymptotic homogenization approach for anisotropic micropolar modeling of periodic Cauchy materialscitations
- 2022Fast Statistical Homogenization Procedure for estimation of eec- tive properties of Ceramic Matrix Composites (CMC) with random microstructure
- 2020Design of tunable acoustic metamaterials with periodic piezoelectric microstructurecitations
- 2019Statistical homogenization of random porous mediacitations
- 2019Characterization of hybrid piezoelectric nanogenerators through asymptotic homogenizationcitations
- 2018Scalar Damage in 2D solids: a VEM formulation
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document
Fast Statistical Homogenization Procedure for estimation of eec- tive properties of Ceramic Matrix Composites (CMC) with random microstructure
Abstract
The modern polycrystalline composite materials have a complex internal structure consisting of different phases and interfaces with random distribution. Relevant examples are Al<sub>2</sub>O<sub>3</sub>/ZrO<sub>2</sub>, i.e. alumina/zirconia composites, widely used as structural materials with applications ranging from aerospace to bio-engineering. Depending on the phases content and on the grain size a broad range of material characteristics, among which elastic constants, can be obtained.<br> With the aim of characterizing this class of materials, we exploit a numerical Fast Statistical Homogenization Procedure (FSHP) in order to both estimate the size of the Representative Volume Elements (RVE) and the effective elastic properties, assuming a linear elastic material behaviour. The 2-D analyses are performed considering a microstructure inspired by images of real portions of the Al<sub>2</sub>O<sub>3</sub>/ZrO<sub>2</sub> composite obtained from a scanning electron microscope. The recent Virtual Element Method is used in combination with the FSHP approach to numerically solve boundary value problems. Different volume contents of phases are considered ranging from pure Alumina to pure zirconia. The results are useful to reliably characterize such materials in the elastic range taking into account the role played by random distribution of grains.