2020
DOI: 10.1016/j.cma.2020.112885
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A high-order multiscale approach to turbulence for compact nodal schemes

Abstract: This article presents a formulation that extends the variational multiscale modelling for compressible large-eddy simulation to a vast family of compact nodal numerical methods represented by the high-order flux reconstruction scheme. The theoretical aspects of the proposed formulation are laid down via rigorous mathematical derivations which clearly expose the underlying assumptions and approximations and provide sufficient details for accurate reproduction of the methodology. The final form is assessed on a … Show more

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Cited by 7 publications
(5 citation statements)
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“…In [4], Bando et al have performed computations of compressible homogeneous isotropic turbulence, showing the good performance of the DG-VMS approach with respect to an implicit LES approach based on an entropy-bounded DG scheme [50]. Based on the aforementioned works, Navah et al [62] have recently derived a general formulation that extends the VMS method for compressible LES to the family of compact nodal methods represented by the high-order flux reconstruction scheme [36,37]. Finally, the spectral properties of the DG-VMS approach have been studied in detail by Naddei et al [58].…”
Section: Introductionmentioning
confidence: 99%
“…In [4], Bando et al have performed computations of compressible homogeneous isotropic turbulence, showing the good performance of the DG-VMS approach with respect to an implicit LES approach based on an entropy-bounded DG scheme [50]. Based on the aforementioned works, Navah et al [62] have recently derived a general formulation that extends the VMS method for compressible LES to the family of compact nodal methods represented by the high-order flux reconstruction scheme [36,37]. Finally, the spectral properties of the DG-VMS approach have been studied in detail by Naddei et al [58].…”
Section: Introductionmentioning
confidence: 99%
“…Here, t * = t/t c is the non-dimensional time variable and t c = L/v ∞ is the characteristic time. The analysis of the equation describing the temporal evolution of the kinetic energy allows the estimation of numerical errors through the comparison of each of the components of the kinetic energy balance equation [40] which are defined as follows…”
Section: Taylor-green-vortexmentioning
confidence: 99%
“…In this work, a quadrature of degree 10 is used to assess the ensemble averages. As in [16,40] the error estimator δ may be expressed as…”
Section: Taylor-green-vortexmentioning
confidence: 99%
“…Here, t * = t/t c is the non-dimensional time variable and t c = L/v ∞ is the characteristic time. The analysis of the equation describing the temporal evolution of the kinetic energy allows to estimate numerical errors by the comparison of each of components of the kinetic energy balance equation [35] which are defined as follows…”
Section: Taylor-green-vortexmentioning
confidence: 99%
“…In this work, a quadrature of degree 10 is used to assess the ensemble averages. As in [35,14] the error estimator δ may be expressed as…”
Section: Taylor-green-vortexmentioning
confidence: 99%