2016
DOI: 10.1080/10618562.2016.1198783
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Assessment of a high-order accurate Discontinuous Galerkin method for turbomachinery flows

Abstract: In this work the capabilities of a recently developed high-order accurate Discontinuous Galerkin (DG) solver, named MIGALE, are assessed for the computation of turbomachinery flows. The Reynolds averaged Navier-Stokes equations coupled with the two equations k-ω turbulence model are solved to predict the flow features, either in a fixed or rotating reference frame, to simulate the fluid flow around bodies that operate under an imposed steady rotation. To ensure, by design, the positivity of all thermodynamic v… Show more

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Cited by 38 publications
(41 citation statements)
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“…The new multicomponent DG solver here presented closely follows the implementation of the monocomponent DG MIGALE code [1,2,3,4]. A fully implicit discretization is employed with Jacobian matrices analytically computed to account in exact manner for the dependence of residuals on the values of variables and gradients, also including the treatment of lifting operators and boundary conditions.…”
Section: Discontinuous Galerkin Discretizationmentioning
confidence: 99%
See 3 more Smart Citations
“…The new multicomponent DG solver here presented closely follows the implementation of the monocomponent DG MIGALE code [1,2,3,4]. A fully implicit discretization is employed with Jacobian matrices analytically computed to account in exact manner for the dependence of residuals on the values of variables and gradients, also including the treatment of lifting operators and boundary conditions.…”
Section: Discontinuous Galerkin Discretizationmentioning
confidence: 99%
“…used by the BR2 scheme [1] to define a DG discretization of the viscous part of the governing equations. The jump [[·]] and average {·} trace operators are defined as usual in the DG context to conveniently deal with discontinuities at elements interface as…”
Section: Discontinuous Galerkin Discretizationmentioning
confidence: 99%
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“…Otherwise, implicit schemes, although memory consuming due to the need of the Jacobian matrix, can be A-stable and Lstable even for high order of accuracy. Most popular implicit schemes are Backward Differentiation Formulae (BDF) [9], which are only A-stable up to the second-order, and their low accuracy is not well suited to match the spatial accuracy of DG methods. In the attempt to couple a high-order discretization both in space and time, several temporal schemes have been used to advance in time the DG space discretized equations [6,26,25,5].…”
Section: Introductionmentioning
confidence: 99%