<div class="csl-bib-body">
<div class="csl-entry">Davoli, E., Kružík, M., & Pagliari, V. (2024). Homogenization of high-contrast composites under differential constraints. <i>Advances in Calculus of Variations</i>, <i>17</i>(2), 277–318. https://doi.org/10.1515/acv-2022-0009</div>
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dc.identifier.issn
1864-8258
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/209344
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dc.description.abstract
We derive, by means of variational techniques, a limiting description for a class of integral functionals under linear differential constraints. The functionals are designed to encode the energy of a high-contrast composite, that is, a heterogeneous material which, at a microscopic level, consists of a periodically perforated matrix whose cavities are occupied by a filling with very different physical properties. Our main result provides a Γ-convergence analysis as the periodicity tends to zero, and shows that the variational limit of the functionals at stake is the sum of two contributions, one resulting from the energy stored in the matrix and the other from the energy stored in the inclusions. As a consequence of the underlying high-contrast structure, the study is faced with a lack of coercivity with respect to the standard topologies in Lp, which we tackle by means of two-scale convergence techniques. In order to handle the differential constraints, instead, we establish new results about the existence of potentials and of constraint-preserving extension operators for linear, k-th order, homogeneous differential operators with constant coefficients and constant rank.
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.publisher
WALTER DE GRUYTER GMBH
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dc.relation.ispartof
Advances in Calculus of Variations
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
A-quasiconvexity
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dc.subject
high-contrast
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dc.subject
Homogenization
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dc.subject
periodic unfolding
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dc.subject
two-scale convergence
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dc.subject
Γ-convergence
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dc.title
Homogenization of high-contrast composites under differential constraints