2016
DOI: 10.1063/1.4954303
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A nonlinear structural subgrid-scale closure for compressible MHD. I. Derivation and energy dissipation properties

Abstract: Compressible magnetohydrodynamic (MHD) turbulence is ubiquitous in astrophysical phenomena ranging from the intergalactic to the stellar scales. In studying them, numerical simulations are nearly inescapable, due to the large degree of nonlinearity involved. However the dynamical ranges of these phenomena are much larger than what is computationally accessible. In large eddy simulations (LES), the resulting limited resolution effects are addressed explicitly by introducing to the equations of motion additional… Show more

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Cited by 17 publications
(15 citation statements)
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“…In order to account for cross-helicity effects such as changing cascade dynamics both structural models are expected to be applicable as presented. While the nonlinear model makes no assumptions on the nature of the flow [13], the scalesimilarity model implicitly accounts for changing dynamics [44]. The functional eddy-viscosity model misses this feature.…”
Section: Discussionmentioning
confidence: 99%
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“…In order to account for cross-helicity effects such as changing cascade dynamics both structural models are expected to be applicable as presented. While the nonlinear model makes no assumptions on the nature of the flow [13], the scalesimilarity model implicitly accounts for changing dynamics [44]. The functional eddy-viscosity model misses this feature.…”
Section: Discussionmentioning
confidence: 99%
“…c. The nonlinear (NL) model is another structural model and exhibited the highest correlations with reference data in a priori tests [23,24]. It can be derived from Taylor expansion of the inverse filter kernel [13,28] and requires no further assumptions about the underlying flow features. We employ the primary compressible extension resulting in the following model:…”
Section: Methodsmentioning
confidence: 99%
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“…To include the effect of unresolved, i.e., below the grid-scale, turbulence we employ the nonlinear SGS model for MHD turbulence presented by Vlaykov et al (2016); Grete et al (2016). The main features of this model are that it specifi-cally takes compressibility effects into account and allows for energy transfer in both directions.…”
Section: Subgrid-scale Turbulence Modelmentioning
confidence: 99%
“…The majority of MHD SGS models have been derived from their incompressible hydrodynamic counterparts, and only few have been tested in the compressible MHD regime (Miki & Menon 2008;Chernyshov et al 2014;Grete et al 2015). Vlaykov et al (2016) and Grete et al (2016Grete et al ( , 2017 have developed an SGS model that explicitly takes into account compressibility effects in MHD turbulence and demonstrated its applicability from the subsonic to the highly supersonic regime. Therefore, it is most suitable for the dynamics of a Direct Collapse scenario.…”
Section: Introductionmentioning
confidence: 99%