2015
DOI: 10.4208/aamm.2014.m559
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A Comparison and Unification of Ellipsoidal Statistical and Shakhov BGK Models

Abstract: The Ellipsoidal Statistical model (ES-model) and the Shakhov model (Smodel) were constructed to correct the Prandtl number of the original BGK model through the modification of stress and heat flux. With the introduction of a new parameter to combine the ES-model and S-model, a generalized kinetic model can be developed. This new model can give the correct Navier-Stokes equations in the continuum flow regime. Through the adjustment of the new parameter, it provides abundant dynamic effect beyond the ES-model a… Show more

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Cited by 36 publications
(28 citation statements)
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“…Roughly speaking, the ES-BGK model is similar as the Shakhov model in the sense that both models fit only the Prandtl number, and some comparisons between these two models are carried out in [14,10]. The ES-BGK model gives a nonlinear collision term since non-equilibrium quantities appear in the parameter of the exponential.…”
Section: Remarkmentioning
confidence: 99%
“…Roughly speaking, the ES-BGK model is similar as the Shakhov model in the sense that both models fit only the Prandtl number, and some comparisons between these two models are carried out in [14,10]. The ES-BGK model gives a nonlinear collision term since non-equilibrium quantities appear in the parameter of the exponential.…”
Section: Remarkmentioning
confidence: 99%
“…Chen et al 11 proposed a unified BGK model (UBGK), which merges the ESBGK and SBGK model. The new target distribution is…”
Section: Unified Bgk Modelmentioning
confidence: 99%
“…Up to now, only the ellipsoidal statistical BGK (ESBGK) model has been used in this context. Unfortunately, the ESBGK model has difficulties to reproduce the shock structure correctly 11 . In this publication, methods to sample in an efficient way from other target distribution functions used in the Shakhov and unified BGK models are described.…”
Section: Introductionmentioning
confidence: 99%
“…The Shakhov model equation is appropriate for thermally driven flow as has been demonstrated by numerous applications in the literature, such as Refs. [19,20,[32][33][34], to name a few. It should be noted that to match the realistic gas viscosity [35,36] in a wide temperature range, the power-law index ω will vary significantly.…”
Section: Simulation Setupmentioning
confidence: 99%