2016
DOI: 10.1016/j.cma.2016.03.041
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Algebraic approximation of sub-grid scales for the variational multiscale modeling of transport problems

Abstract: Variational Multiscale (VMS) Finite Element Methods (FEMs) are robust for the development of general formulations for the solution of multiphysics and multiscale transport problems. To obtain a tractable and computationally efficient model, VMS methods often rely on a residual-based algebraic approximation of the sub-grid scales (small or unresolved features of the solution field not captured by the discretization) using a so-called intrinsic time scale matrix, which depends on the problem's overall differenti… Show more

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Cited by 10 publications
(4 citation statements)
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References 83 publications
(138 reference statements)
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“…Consequently, while U + is often interpreted as an approximation of U at time + , Equation (10) indicates it may be instead be seen as a central difference approximation of U at time + when the generalized-method is second-order accurate.…”
Section: An Alternative Form Of the Generalized-methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Consequently, while U + is often interpreted as an approximation of U at time + , Equation (10) indicates it may be instead be seen as a central difference approximation of U at time + when the generalized-method is second-order accurate.…”
Section: An Alternative Form Of the Generalized-methodsmentioning
confidence: 99%
“…The generalized-method is typically combined with a finite element spatial discretization in order to arrive at a fully-discrete method for the numerical solution of partial differential equations. This is a particularly popular approach for structural mechanics applications 3,4,5,6,7 , though it is often used for fluid mechanics 8,9,10,11,12,13 , fluid-structure interaction 14,15 , and magnetohydrodynamics 16 applications as well. In the context of fluid mechanics, the generalized-method is used to time integrate finite element spatial discretizations of mass, momentum, and energy differential conservation laws.…”
Section: Introductionmentioning
confidence: 99%
“…transpose) for the VMS method. VMS methods are based on a multi-scale decomposition among large-scales (grid-scale, captured by the discretization) and an algebraic approximation of the small-scales (sub-grid, unresolved) [112]. Their discrete counterpart to equation ( 18) is:…”
Section: Cfd Methods For App Flowsmentioning
confidence: 99%
“…The essential modeling parameter of the VMS is the intrinsic time scales matrix τ . An effective and widely adopted definition of τ consists on an algebraic approximation of the form: τ=((trueboldA˜0GttrueboldA˜0)12+(trueboldA˜iGijtrueboldA˜j)12+(trueboldK˜ijGij:GijtrueboldK˜ij)12+(trueboldS˜1trueboldS˜1)12)1L1 where trueboldA˜0, trueboldA˜i, trueboldK˜ij, trueboldS˜1 are approximate transport matrices, counterparts of the transport matrices A 0 , A i , K ij , S 1 , respectively; Gt=(nt/Δt)2, where Δ t is the time step size, n t a constant function of the accuracy of the temporal discretization (e.g., n t = 2 for second‐order); Gij=kfalse(ξk/xifalse)false(...…”
Section: Variational Multiscale Finite Element Methodsmentioning
confidence: 99%