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Application of the variational Germano identity to the variational multiscale formulation. (English) Zbl 1210.65128

Summary: We examine the connection between the variational multiscale (VMS) formulation and the variational counterpart of the Germano identity (VGI). We note that they are both based on the same multiscale construct of a given coarse scale space and a user-defined projector into this space, which defines the desired numerical solution. By utilizing this connection we demonstrate how the VGI may be used to determine parameters for the models derived using the VMS formulation.

MSC:

65K10 Numerical optimization and variational techniques
Full Text: DOI

References:

[1] Hughes, Variational multiscale analysis: the fine-scale Green’s function, projection, optimization, localization, and stabilized methods, SIAM Journal on Numerical Analysis 45 (2) pp 539– (2008) · Zbl 1152.65111 · doi:10.1137/050645646
[2] Oberai, A dynamic approach for evaluating parameters in a numerical method, International Journal for Numerical Methods in Engineering 62 pp 50– (2005) · Zbl 1179.76067 · doi:10.1002/nme.1181
[3] Oberai, Optimal numerical solution of PDEs using the variational Germano identity, Computer Methods in Applied Mechanics and Engineering 197 (33-40) pp 2948– (2008) · Zbl 1194.76240 · doi:10.1016/j.cma.2008.01.020
[4] Germano, A dynamic subgrid-scale Eddy viscosity model, Physics of Fluids 3 (7) pp 1760– (1991) · Zbl 0825.76334 · doi:10.1063/1.857955
[5] Hughes, The Finite Element Method-Linear Static and Dynamic Finite Element Analysis (2000) · Zbl 1191.74002
[6] Akkerman, A variational Germano approach for stabilized finite element methods, Computer Methods in Applied Mechanics and Engineering 199 (9-12) pp 502– (2010) · Zbl 1227.76024 · doi:10.1016/j.cma.2009.10.001
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