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2018
DOI: 10.1080/03605302.2018.1531425
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Homogenization for the Poisson equation in randomly perforated domains under minimal assumptions on the size of the holes

Abstract: This paper deals with the homogenization of the Poisson equation in a bounded domain of R d , d > 2, which is perforated by a random number of small spherical holes with random radii and positions. We show that for a class of stationary short-range correlated measures for the centres and radii of the holes, we recover in the homogenized limit an averaged analogue of the "strange term" obtained by Cioranescu and Murat in the periodic case [D. Cioranescu and F. Murat, Un term étrange venu d'ailleurs (1986)]. We … Show more

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Cited by 31 publications
(81 citation statements)
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“…These properties are split into two lemmas. The first one is analogous to the corresponding lemma in [10], the other one gives more detailed informations on the geometry of the clusters of H ε and is the result which requires the strengthened version (1.7) of (1.6). In subsection 3.2, we prove the results stated in Section 3.…”
Section: Introductionmentioning
confidence: 92%
See 3 more Smart Citations
“…These properties are split into two lemmas. The first one is analogous to the corresponding lemma in [10], the other one gives more detailed informations on the geometry of the clusters of H ε and is the result which requires the strengthened version (1.7) of (1.6). In subsection 3.2, we prove the results stated in Section 3.…”
Section: Introductionmentioning
confidence: 92%
“…Assumption (1.6) is minimal in order to have that this quantity is finite in average, but does not exclude that with overwhelming probability some balls generating H ε overlap. For further comments on this, we refer to the introduction in [10]. The main challenge in proving the results of this paper is related to the regions of H ε where there are clustering effects.…”
Section: Introductionmentioning
confidence: 96%
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“…Moreover, a corresponding framework for quantification was established by Kacimi and Murat [21]. The framework was later extended by Allaire to Stokes and Navier-Stokes problems [1,2], to the obstacle problems by Caffarelli and Mellet [8], and to random settings by Hoàng [18,17]; see also [13] and see [16,15] for randomly perforated domains based on Poisson piont processes.…”
Section: )mentioning
confidence: 99%