2007
DOI: 10.1002/fld.1635
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Development and validation of a SUPG finite element scheme for the compressible Navier–Stokes equations using a modified inviscid flux discretization

Abstract: SUMMARYThis paper considers the streamline-upwind Petrov-Galerkin (SUPG) method applied to the unsteady compressible Navier-Stokes equations in conservation-variable form. The spatial discretization, including a modified approach for interpolating the inviscid flux terms in the SUPG finite element formulation, and the second-order accurate time discretization are presented. The numerical method is discussed in detail. The performance of the algorithm is then investigated by considering inviscid flow past a cir… Show more

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Cited by 40 publications
(17 citation statements)
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“…The grouped variable discretization of F i,h is nonstandard, but has shown to improve some aspects of the numerical scheme [21]. This issue is also discussed in Reference [22], where it is pointed out that this approximation of the fluxes is compatible with a discrete Gauss divergence theorem and therefore conservative.…”
Section: Finite Element Formulationmentioning
confidence: 95%
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“…The grouped variable discretization of F i,h is nonstandard, but has shown to improve some aspects of the numerical scheme [21]. This issue is also discussed in Reference [22], where it is pointed out that this approximation of the fluxes is compatible with a discrete Gauss divergence theorem and therefore conservative.…”
Section: Finite Element Formulationmentioning
confidence: 95%
“…The no-penetration boundary condition u·n = 0 holds on the cylinder surface and is enforced as a natural boundary condition that results upon integrating the convective term in (36) by parts. (This approach is described further in [21].) The importance of a continuous field was discussed in Section 4.…”
Section: Inviscid Flow Over a Cylindermentioning
confidence: 99%
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“…It involves the linearization of all the terms contributing to the residual vector R(Ū) (See Equation (27)). In the current work the linearization of the inviscid and viscous flux terms is handled through the implementation an inviscid flux Jacobian matrix A i and the diffusivity matrix K ij , presented in [23], whereas a hand-coded linearization is implemented for the streamline and transverse stabilization terms. Following this idea, the general form of the Jacobian matrix can be expressed as…”
Section: Solution Methodsmentioning
confidence: 99%
“…In Equation (23), τ = β |v|+vc is the the stabilization parameter and the stabilization matrices S and B i in Eq. (22) The Galerkin form of the discretized equations is obtained by making the weighting functions equal to the interpolation ones (W = N).…”
Section: Spatial Discretizationmentioning
confidence: 99%