2007
DOI: 10.1016/j.cma.2007.01.002
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Time dependent subscales in the stabilized finite element approximation of incompressible flow problems

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Cited by 235 publications
(356 citation statements)
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References 35 publications
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“…The decomposition of = ℎ + �, = + � refers to space splitting 0 = ℎ,0 ⊕ � ℎ . The velocity time derivation can be split as = ℎ + � where the second term is saved because it is chosen to deal with dynamical subscales [15]. Enforcing the sub scales to be L 2 orthogonal to the finite element or, in other words, � 0 is taken as subspace of h V ⊥ this solution leads to the separate energy bounds for the two different scales.…”
Section: Orthogonal Sgs Methods With Dynamical Subscalesmentioning
confidence: 99%
“…The decomposition of = ℎ + �, = + � refers to space splitting 0 = ℎ,0 ⊕ � ℎ . The velocity time derivation can be split as = ℎ + � where the second term is saved because it is chosen to deal with dynamical subscales [15]. Enforcing the sub scales to be L 2 orthogonal to the finite element or, in other words, � 0 is taken as subspace of h V ⊥ this solution leads to the separate energy bounds for the two different scales.…”
Section: Orthogonal Sgs Methods With Dynamical Subscalesmentioning
confidence: 99%
“…The interesting feature about VMS is that it is capable of providing, at the same time, a numerical stabilization mechanism for the studied equations (in this case, the incompressible Navier-Stokes equations) and a turbulence model which takes into account the under-resolved scales (those which cannot be captured by the finite element mesh). This has been studied in several works [27,18,14,15,23] with successful results. The advantage of using this kind of approach is that there is no interference between the numerical stabilization and the turbulence models because both issues are taken care of by the numerical subgrid scales.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the subgrid scale stabilization methods (also known as variational multiscale stabilization methods) [31,32] are of special interest for the simulation of turbulent flows. This is so because, if well designed, they not only allow one to circumvent the above mentioned numerical problems, but also act as implicit large eddy simulation models [32,33,34,35,36]. The basic idea of subgrid scale methods is that of splitting the problem unknowns, u 0 and p 0 for (15), and the test functions, v 0 and q 0 , into large scale components, u 0 h and p 0 h , which can be resolved by the computational mesh, and small scale components,ũ 0 andp 0 , which cannot be captured and whose effects onto the large scales have to be modeled.…”
Section: Spatial Discretizationmentioning
confidence: 99%
“…The reader is referred to [35] for a detailed derivation of the above equations. These arise as a particular case of the most general situation in which subscales are tracked in time and all its non-linear contributions retained.…”
Section: Spatial Discretizationmentioning
confidence: 99%