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               <dc:title>Fluid-structure interaction and homogenization: from spatial averaging to continuous wavelet transform</dc:title>
               <dc:creator>Mokhtari, S.</dc:creator>
               <dc:creator>Ricciardi, G.</dc:creator>
               <dc:creator>Faucher, V.</dc:creator>
               <dc:creator>Argoul, P.</dc:creator>
               <dc:creator>Adelaide, L.</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits</dc:subject>
               <dc:subject>Finite element method</dc:subject>
               <dc:subject>Coupled problems (Complex systems) -- Numerical solutions</dc:subject>
               <dc:subject>ﬂuid-structure interaction, compressible ﬂow, spatial ﬁltering, multi-scale, homogenization, wavelets</dc:subject>
               <dc:subject>Elements finits, Mètode dels</dc:subject>
               <dc:description>Fluid-structure interaction (FSI) is classicaly modeled according a separated and local approach. It enables to take full advantage of the numerical methods speciﬁcally designed for each medium. However, it requires to take great care of the interface, and to exchange, between the algorithms, the information related to boundary conditions [1]. This treatment of the interface can quickly become too cumbersome in complex ﬂow geometries, as in the industrial case study driving this work: an inviscid compressible ﬂow interacting with French PWR fuel assemblies (Fig. 1a).&#xd;
In such speciﬁc applications, where the solid medium exhibits a discontinuous but periodic design, an homogenized and global approach is preferred [2]. Inspired by porous media [3, 4], multiphase ﬂows, or Large Eddy Simulation (LES), it relies on a spatial averaging of the balance equations, thus allowing to remove all interfaces. However, such ﬁltering techniques exhibit two major limitations: ﬁrst, they do not deal properly with boundary conditions, due to the non-commutativity between the ﬁltering operator and spatial derivatives, as detailed in [5, 6, 7] for LES; second, ﬁltering implies loss of microscopic information, and thus requires a closure model to describe interactions between resolved and unresolved scales.</dc:description>
               <dc:date>2019</dc:date>
               <dc:type>Conference report</dc:type>
               <dc:rights>Open Access</dc:rights>
               <dc:publisher>CIMNE</dc:publisher>
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