2011
DOI: 10.1016/j.matpur.2010.12.001
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Two-scale analysis for very rough thin layers. An explicit characterization of the polarization tensor

Abstract: International audienceWe study the behaviour of the steady-state voltage potential in a material composed of a two-dimensional object surrounded by a very rough thin layer and embedded in an ambient medium. The roughness of the layer is described by a quasi $\eps$--periodic function, $\eps$ being a small parameter, while the mean thickness of the layer is of magnitude $\eps^\beta$, where $\beta\in(0,1)$. Using the two-scale analysis, we replace the very rough thin layer by appropriate transmission conditions o… Show more

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Cited by 6 publications
(10 citation statements)
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“…2 The notation means that goes to zero faster than as goes to zero. We refer to [2]- [4] for a precise description of the involved norms and the accuracy of the convergence.…”
Section: A Statement Of the Problemmentioning
confidence: 99%
See 2 more Smart Citations
“…2 The notation means that goes to zero faster than as goes to zero. We refer to [2]- [4] for a precise description of the involved norms and the accuracy of the convergence.…”
Section: A Statement Of the Problemmentioning
confidence: 99%
“…According to [4], satisfies the following problem: (5) and the following transmission conditions on :…”
Section: Very Rough Thin Layermentioning
confidence: 99%
See 1 more Smart Citation
“…According to (3.1) the polarization tensor is a full 2 × 2 matrix, whereas for smooth and for very rough thin layers the respective polarization tensors are diagonal 2 × 2 matrices [1,3,4]. This feature can be seen as a coupling between the thickness of the layer and the period of the oscillations that are in the same order of magnitude.…”
Section: Resultsmentioning
confidence: 99%
“…We aim at revisiting these results using a general framework that allows to treat similarly the three cases α < 1, α = 1 and α > 1. We emphasize that for α > 1 only weak results have been obtained in [13] by using two-scale convergence techniques, in the sense that no error estimate has been provided for the approximation. In this paper we push forward the analysis by defining the boundary layer corrector for α > 1 and by proving error estimates for α ∈ (0, 2): far from the layer, we recover the results proved in [13], while in the neighborhood of the roughness the boundary layer corrector provides an accurate description of the potential.…”
Section: Introduction and Heuristicsmentioning
confidence: 99%