2010
DOI: 10.4208/cicp.2009.09.049
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Hyperbolic Moment Equations in Kinetic Gas Theory Based on Multi-Variate Pearson-IV-Distributions

Abstract: In this paper we develop a new closure theory for moment approximations in kinetic gas theory and derive hyperbolic moment equations for 13 fluid variables including stress and heat flux. Classical equations have either restricted hyperbolicity regions like Grad's moment equations or fail to include higher moments in a practical way like the entropy maximization approach. The new closure is based on Pearson-Type-IV distributions which reduce to Maxwellians in equilibrium, but allow anisotropies and skewness in… Show more

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Cited by 54 publications
(45 citation statements)
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“…A particular interesting case is the Pearson-IV distribution, which allows for anisotropic variances and skewness in multiple dimensions; hence, it can model stress and heat flux. Torrilhon (2010a) demonstrated how a Pearson-IV distribution can be used to formulate moment equations for rarefied gases. Whereas the equations showed global hyperbolicity for processes in one space dimension, complex eigenvalues still occur in higher-dimensional situations.…”
Section: Nonlinear Moment Closuresmentioning
confidence: 99%
“…A particular interesting case is the Pearson-IV distribution, which allows for anisotropic variances and skewness in multiple dimensions; hence, it can model stress and heat flux. Torrilhon (2010a) demonstrated how a Pearson-IV distribution can be used to formulate moment equations for rarefied gases. Whereas the equations showed global hyperbolicity for processes in one space dimension, complex eigenvalues still occur in higher-dimensional situations.…”
Section: Nonlinear Moment Closuresmentioning
confidence: 99%
“…A list of relevant publications can be found in the references of [13]. Torrilhon [14] provided a 13-moment moment system based on the multivariate Pearson IV distributions, which is hyperbolic when reduced to one dimension, but it seems unlikely that the same technique can be extended to systems with a large number of moments. Torrilhon [14] provided a 13-moment moment system based on the multivariate Pearson IV distributions, which is hyperbolic when reduced to one dimension, but it seems unlikely that the same technique can be extended to systems with a large number of moments.…”
Section: Introductionmentioning
confidence: 99%
“…whereû i = ξ if is a given vector of moments [25]. The closing flux moment is then given byŜ =Ŝ(Q,R) = ξ 5f (Model) .…”
Section: Closure Problemmentioning
confidence: 99%
“…accounting for the effects of macroscopic force fields. An important feature of moment equations is the hyperbolicity of the transport operator as loss of hyperbolicity renders the system ill-posed and numerically unstable, see [25].…”
Section: Introductionmentioning
confidence: 99%