2009
DOI: 10.1016/j.anihpc.2007.08.002
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A variational approach to the local character of G-closure: the convex case

Abstract: This article is devoted to characterize all possible effective behaviors of composite materials by means of periodic homogenization. This is known as a G-closure problem. Under convexity and p-growth conditions (p > 1), it is proved that all such possible effective energy densities obtained by a Γ -convergence analysis, can be locally recovered by the pointwise limit of a sequence of periodic homogenized energy densities with prescribed volume fractions. A weaker locality result is also provided without any ki… Show more

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Cited by 9 publications
(16 citation statements)
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“…In this section we recall well known facts about the homogenization of (convex) integral functionals, and then we will specialize our study to the case of mixtures for which local properties of effective materials can be obtained (see [7]). Given f ∈ F(Q, α, β, p), we denote by f hom (ξ) its homogenized energy density defined by…”
Section: Homogenization and G-closurementioning
confidence: 99%
See 3 more Smart Citations
“…In this section we recall well known facts about the homogenization of (convex) integral functionals, and then we will specialize our study to the case of mixtures for which local properties of effective materials can be obtained (see [7]). Given f ∈ F(Q, α, β, p), we denote by f hom (ξ) its homogenized energy density defined by…”
Section: Homogenization and G-closurementioning
confidence: 99%
“…The first one is that the densities W 1 and W 2 are restricted to be convex functions. The reason is that the local character of G-closure proved in [7], and used many times here, has only been proved in the convex case. To our knowledge, it is not known yet whether it holds or not in the general quasiconvex case.…”
Section: Introductionmentioning
confidence: 99%
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“…A counterexample due to Stefan Müller in [12] shows that in general, for quasiconvex nonconvex energy densities, the inequality W cell ≥ W hom can be strict. More recently, Jean-François Babadjian and the first author gave another such example in [3].…”
Section: Introductionmentioning
confidence: 99%