Abstract
In this article we focus on kinetic equations for gas mixtures since in applications one often has to deal with mixtures instead of a single gas. In particular, we consider an approximation of the Boltzmann equation, the Bhatnagar–Gross–Krook (BGK) equation. This equation is used in many applications because it is very efficient in numerical simulations. In this article, we recall a general BGK equation for gas mixtures which has free parameters. Specific choices of these free parameters lead to special cases in the literature. For this model, we provide an overview concerning modelling, theoretical results and numerics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Achleitner, F., Arnold, A., Carlen, E.A.: On linear hypocoercive BGK models. In From Particle Systems to Partial Differential Equations III, Springer Proceedings in Mathematics & Statistics, vol. 162 [Cham], pp. 1–37. (2016)
Alaia, A., Puppo, G.: A hybrid method for hydrodynamic-kinetic flow - Part II - Coupling of hydrodynamic and kinetic models. J. Comput. Phys. 231(16), 5217–5242 (2012)
Andries, P., Aoki, K., Perthame, B.: A consistent BGK-type model for gas mixtures. J. Statist. Phys. 106, 993–1018 (2002)
Asinari, P.: Asymptotic analysis of multiple-relaxation-time lattice Boltzmann schemes for mixture modeling. Comput. Math. Appl. 55, 1392–1407 (2008)
Ayuso, B., Carrillo, J.A., Shu, C.-W.: Discontinuous Galerkin Methods for the one-dimensional Vlasov-Poisson system, Kinetic Related Models 4, 955–989 (2011)
Bae, G., Klingenberg, C., Yun, S., Pirner, M.: Mixture BGK model near a global Maxwellian, manuscript (2021)
Bennoune, M., Lemou, M., Mieussens, L.: Uniformly stable numerical schemes for the Boltzmann equation preserving the compressible Navier-Stokes asymptotics. J. Comput. Phys. 227, 3781–3803 (2008)
Bernard, F., Iollo, A., Puppo, G.: A local velocity grid approach for BGK equation. Commun. Comput. Phys. 16(4), 956–982 (2014)
Bernard, F., Iollo, A., Puppo, G.: Accurate asymptotic preserving boundary conditions for kinetic equations on Cartesian grids. J. Sci. Comput. 65, 735–766 (2015)
Bhatnagar, P.L., Gross, E.P., Krook, M.: A model for collision processes in gases. I. Small amplitude processes in charged and neutral one-component systems. Phys. Rev. 94, 511–525 (1954)
Bobylev, A.V., Bisi, M., Groppi, M., Spiga, G., Potapenko, I.F.: A general consistent BGK model for gas mixtures. Kinetic Related Models 11(6), 1377 (2018)
Boscarino, S., Cho, S.Y., Groppi, M., Russo, G.: BGK models for inert mixtures: comparison and applications (2021). Preprint arXiv:2102.12757 [math-ph]
Boscarino, S., Cho, S.Y., Russo, G.: A local velocity grid conservative semi-Lagrangian schemes for BGK model (2021). Preprint arXiv:2107.08626 [math.NA]
Boscarino, S., Cho, S.Y., Russo, G., Yun, S.B.: Conservative semi-Lagrangian schemes for kinetic equations Part II: applications. J. Comput. Phys. 436, 110281 (2021)
Boscarino, S., Cho, S.Y., Groppi, M., Russo, G.: BGK models for inert mixtures: comparison and applications. Preprint arXiv:2102.12757
Brull, S.: An ellipsoidal statistical model for gas mixtures. Commun. Math. Sci. 8, 1–13 (2015)
Brull, S., Mieussens, L.: Local discrete velocity grids for deterministic rarefied flow simulations. J. Comput. Phys. 266, 22–46 (2014)
Brull, S., Pavan, V., Schneider, J.: Derivation of a BGK model for mixtures. Euro. J. Mech. B/Fluids 33, 74–86 (2012)
Cercignani, C.: The Boltzmann Equation and Its Applications. Springer, Berlin (1988)
Cercignani, C.: Rarefied Gas Dynamics, From Basic Concepts to Actual Calculations. Cambridge University Press, Cambridge (2000)
Cheng, Y., Gamba, I.M., Proft, J.: Positivity-preserving discontinuous Galerkin schemes for linear Vlasov-Boltzmann transport equations. Math. Comput. 81(277), 153–190 (2012)
Chu, C.K.: Kinetic-theoretic description of the formation of a shock wave. Phys. Fluids 8(12), 12–22 (1965)
Coron, F., Perthame, B.: Numerical Passage from kinetic to fluid equations. SIAM J. Numer. Anal. 28(1), 26–42 (1991)
Crestetto, A., Crouseilles, N., Lemou, M.: Kinetic/fluid micro-macro numerical schemes for Vlasov-Poisson-BGK equation using particles. Kinetic Related Models 5, 787–816 (2013)
Crestetto, A., Klingenberg, C., Pirner, M.: Kinetic/fluid micro-macro numerical scheme for a two component gas mixture. SIAM Multiscale Modeling Simulation 18(2), 970–998 (2020)
Crouseilles, N., Mehrenberger, M., Sonnendrücker, E.: Conservative semi-Lagrangian schemes for Vlasov equations. J. Comput. Phys. 229, 1927–1953 (2010)
Degond, P., Dimarco, G., Pareschi, L.: The Moment Guided Monte Carlo method. Int. J. Numer. Methods Fluids 67, 189–213 (2011)
Dimarco, G., Loubère, R.: Towards an ultra efficient kinetic scheme. Part I: Basics on the BGK equation. J. Comput. Phys. 255, 680–698 (2012)
Dimarco, G., Pareschi, L.: Numerical methods for kinetic equations. Acta Numerica 23, 369–520 (2014)
Dimarco, G., Pareschi, L.: Implicit-Explicit linear multistep methods for stiff kinetic equations. SIAM J. Numer. Anal. 55(2), 664–690 (2017)
Filbet, F., Jin, S.: A class of asymptotic-preserving schemes for kinetic equations and related problems with stiff sources. J. Comput. Phys. 20, 7625–7648 (2010)
Filbet, F., Sonnendrücker, E., Bertrand, P.: Conservative numerical schemes for the Vlasov equation. J. Comput. Phys. 172, 166–187 (2001)
Gamba, I.M., Tharkabhushaman, S.H.: Spectral-Lagrangian based methods applied to computation of non-equilibrium statistical states. J. Comput. Phys. 228, 2012–2036 (2009)
Garzó, V., Santos, A., Brey, J.J.: A kinetic model for a multicomponent gas. Phys. Fluids A 1(2), 380–383 (1989)
Greene, J.: Improved Bhatnagar-Gross-Krook model of electron-ion collisions. Phys. Fluids 16, 2022–2023 (1973)
Groppi, M., Monica, S., Spiga, G.: A kinetic ellipsoidal BGK model for a binary gas mixture. Europhys. Lett. 96, 64002 (2011)
Gross, E.P., Krook, M.: Model for collision processes in gases: Small-amplitude oscillations of charged two-component systems. Phys. Rev. 102(3), 593 (1956)
Haack, J.R., Hauck, C.D., Murillo, M.S.: A conservative, entropic multispecies BGK model. J. Statist. Phys. 168, 826–856 (2017)
Haack, J.R., Hauck, C.D., Murillo, M.S.: Interfacial mixing in high-energy-density matter with a multiphysics kinetic model. Phys. Rev. E 96, 063310 (2017)
Haack, J., Hauck, C., Klingenberg, C., Pirner, M., Warnecke, S.: A consistent BGK model with velocity-dependent collision frequency for gas mixtures. J. Statist. Phys. 184(31), 1–17 (2021)
Haack, J., Hauck, C., Klingenberg, C., Pirner, M., Warnecke, S.: Numerical schemes for a multi-species BGK model with velocity-dependent collision frequency. J. Comput. Phys. 473, 111729 (2023). https://doi.org/10.1016/j.jcp.2022.111729
Hamel, B.B.: Kinetic model for binary gas mixtures. Phys. Fluids 8, 418–425 (1956)
Hittinger, J., Banks, J.: Block-structured adaptive mesh refinement algorithms for Vlasov simulation. J. Comput. Phys. 241, 118–140 (2013)
Holway, L.H.: New statistical models for kinetic theory: methods of construction. Phys. Fluids 9, 1658–1673 (1966)
Hu, J., Jin, S., Li, Q.: Asymptotic-preserving schemes for multiscale Hyperbolic and Kinetic equations. Handbook of Numer. Analy. 18, 103–129 (2017)
Jin, S.: Runge-Kutta methods for hyperbolic conservation laws with stiff relaxation terms. J. Comput. Phys. 122, 51–67 (1995)
Jin, S., Li, Q.: A BGK-penalization based asymptotic-preserving scheme for the multispecies Boltzmann equation. Numer. Methods Partial Differ. Eq. 29(3), 1056–1080 (2013)
Jin, S., Pareschi, L.: Discretization of the multiscale semiconductor Boltzmann equation by diffusive relaxation schemes. J. Comput. Phys. 161, 312–330 (2000)
Klingenberg, C., Pirner, M.: Existence, uniqueness and positivity of solutions for BGK models for mixtures. J. Differ. Equ. 264, 702–727 (2017)
Klingenberg, C., Pirner, M., Puppo, G.: A consistent kinetic model for a two-component mixture with an application to plasma. Kinetic Related Models 10, 445–465 (2017)
Liu, L., Pirner, M.: Hypocoercivity for a BGK model for gas mixtures. J. Differ. Equ. 267, 119–149 (2019)
Mieussens, L.: Discrete velocity model and implicit scheme for the BGK equation of rarefied gas dynamics. Math. Models Methods Appl. Sci. 10(08), 1121–1149 (2000)
Mieussens, L., Struchtrup, H.: Numerical comparison of Bhatnagar–Gross–Krook models with proper Prandtl number. Phys. Fluids 16, 2797 (2004)
Mouhot, C., Pareschi, L.: Fast algorithms for computing the Boltzmann collision operator. Math. Comp. 75, 1833–1852 (2006)
Munafo, A., Torres, E., Haack, J., Gamba, I.M., Magin, T.: A spectral-lagrangian Boltzmann solver for a multi-energy level gas. J. Comput. Phys. 264, 152–176 (2014)
Pareschi, L., Russo, G.: Implicit-explicit schemes Runge-Kutta schemes and applications to hyperbolic systems with relaxation. J. Sci. Comput. 25(1), 129–155 (2005)
Perthame, B., Pulvirenti, M.: Weighted L ∞ bounds and uniqueness for the Boltzmann BGK model. Arch. Rational Mech. Anal. 125, 289–295 (1993)
Pieraccini, S., Puppo, G.: Implicit-explicit schemes for BGK kinetic equations. J. Sci. Comput. 32, 1–28 (2007)
Puppo, G.: Kinetic models of BGK type and their numerical integration. Riv. Mat. Univ. Parma 10(2), 299–349 (2019)
Qiu, J.-M., Shu, C.-W.: Positivity preserving semi-Lagrangian discontinuous Galerkin formulation: Theoretical analysis and application to the Vlasov–Poisson system, J. Comput. Phys. 230(23), 8386–8409 (2011)
Shakhov, E.M.: Generalization of the Krook kinetic relaxation equation. Fluid Dyn. 3, 95–96 (1968)
Sofonea, V., Sekerka, R.: BGK models for diffusion in isothermal binary fluid systems. Physica 3, 494–520 (2001)
Sonndendrücker, E., Roche, J., Bertrand, P., Ghizzo, A.: The semi-Lagrangian method for the numerical resolution of Vlasov equations. J. Comput. Phys. 149(201), 201–220 (1998)
Struchtrup, H.: The BGK-model with velocity-dependent collision frequency. Continuum Mech. Thermodyn. 9(1), 23–31 (1997)
Todorova, B., Steijl, R.: Derivation and numerical comparison of Shakov and Ellipsoidal Statistical kinetic models for a monoatomic gas mixture. Euro. J. Mech.-B/Fluids 76, 390-402 (2019)
Yun, S.-B.: Classical solutions for the ellipsoidal BGK model with fixed collision frequency. J. Differ. Equ. 259, 6009–6037 (2015)
Acknowledgement
Marlies Pirner is supported by the Alexander von Humboldt foundation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pirner, M., Warnecke, S. (2023). A Review on a General Multi-Species BGK Model: Modelling, Theory and Numerics. In: Barbante, P., Belgiorno, F.D., Lorenzani, S., Valdettaro, L. (eds) From Kinetic Theory to Turbulence Modeling. INdAM 2021. Springer INdAM Series, vol 51. Springer, Singapore. https://doi.org/10.1007/978-981-19-6462-6_17
Download citation
DOI: https://doi.org/10.1007/978-981-19-6462-6_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6461-9
Online ISBN: 978-981-19-6462-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)