A Unified Gas Kinetic Scheme for Continuum and Rarefied Flows V: Multiscale and Multi-Component Plasma Transport
Year: 2017
Communications in Computational Physics, Vol. 22 (2017), Iss. 5 : pp. 1175–1223
Abstract
As a continuation of developing multiscale method for the transport phenomena, a unified gas kinetic scheme (UGKS) for multi-scale and multi-component plasma simulation is constructed. The current scheme is a direct modeling method, where the time evolution solutions from the Vlasov-BGK equations of electron and ion and the Maxwell equations are used to construct a scale-dependent plasma simulation model. The modeling scale used in the UGKS is the mesh size scale, which can be comparable to or much larger than the local mean free path. As a result, with the variation of modeling scales in space and time through the so-called cell's Knudsen number and normalized Larmor radius, the discretized governing equations can recover a wide range of plasma evolution from the Vlasov equation in the kinetic scale to different-type of magnetohydrodynamic (MHD) equations in the hydrodynamic scale. The UGKS provides a general evolution model, which goes to the Vlasov equation in the kinetic scale and many types of MHD equations in the hydrodynamic scale, such as the two fluids model, the Hall, the resistive, and the ideal MHD equations. All current existing governing equations become the subsets of the UGKS, and the UGKS bridges these distinguishable governing equations seamlessly. The construction of UGKS is based on the implementation of physical conservation laws and the un-splitting treatment of particle collision, acceleration, and transport in the construction of a scale-dependent numerical flux across a cell interface. At the same time, the discretized plasma evolution equations are coupled with the Maxwell equations for electro-magnetic fields, which also cover a scale-dependent transition between the Ampère's law and the Ohm's law for the calculation of electric field. The time step of UGKS is not limited by the relaxation time, the cyclotron period, and the speed of light in the ideal-MHD regime. Our scheme is able to give a physically accurate solution for plasma simulation with a wide range of Knudsen number and normalized Larmor radius. It can be used to study the phenomena from the Vlasov limit to the scale of plasma skin depth for the capturing of two-fluid effect, and the phenomena in the plasma transition regime with a modest Knudsen number and Larmor radius. The UGKS is validated by numerical test cases, such as the Landau damping and two stream instability in the kinetic regime, and the Brio-Wu shock tube problem, and the Orszag-Tang MHD turbulence problem in the hydrodynamic regime. The scheme is also used to study the geospace environment modeling (GEM), such as the challenging magnetic reconnection problem in the transition regime. At the same time, the magnetic reconnection mechanism of the Sweet-Parker model and the Hall effect model can be connected smoothly through the variation of Larmor radius in the UGKS simulations. Overall, the UGKS is a physically reliable multi-scale plasma simulation method, and it provides a powerful and unified approach for the study of plasma physics.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2017-0102
Communications in Computational Physics, Vol. 22 (2017), Iss. 5 : pp. 1175–1223
Published online: 2017-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 49
-
A Fourier transformation based UGKS for Vlasov–Poisson equations in cylindrical coordinates (r,θ)
Ni, Anchun | Wang, Yi | Ni, Guoxi | Chen, YibingComputers & Fluids, Vol. 245 (2022), Iss. P.105593
https://doi.org/10.1016/j.compfluid.2022.105593 [Citations: 1] -
A modified gas kinetic scheme for collisional SRS model with relativistic effect
Wang, Yi | Ni, Guoxi | Zhang, MeinaJournal of Computational Physics, Vol. 416 (2020), Iss. P.109476
https://doi.org/10.1016/j.jcp.2020.109476 [Citations: 4] -
A relativistic UGKS for stimulated Raman scattering in two dimension
Wang, Yi | Ni, Guoxi | Xu, XiaoComputers & Fluids, Vol. 235 (2022), Iss. P.105261
https://doi.org/10.1016/j.compfluid.2021.105261 [Citations: 1] -
A conserved discrete unified gas kinetic scheme for microchannel gas flows in all flow regimes
Liu, Hongtao | Cao, Yong | Chen, Qing | Kong, Mingchi | Zheng, LiangComputers & Fluids, Vol. 167 (2018), Iss. P.313
https://doi.org/10.1016/j.compfluid.2018.03.023 [Citations: 41] -
A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification
Xiao, Tianbai | Frank, MartinJournal of Computational Physics, Vol. 432 (2021), Iss. P.110139
https://doi.org/10.1016/j.jcp.2021.110139 [Citations: 17] -
Coupled discrete unified gas kinetic scheme for the thermal compressible flows in all Knudsen number regimes
Liu, Hongtao | Kong, Mingchi | Chen, Qing | Zheng, Liang | Cao, YongPhysical Review E, Vol. 98 (2018), Iss. 5
https://doi.org/10.1103/PhysRevE.98.053310 [Citations: 19] -
The implementation of the three-dimensional unified gas-kinetic wave-particle method on multiple graphics processing units
Fan, Guochao | Zhao, Wenwen | Yao, Shaobo | Jiang, Zhongzheng | Chen, WeifangPhysics of Fluids, Vol. 35 (2023), Iss. 8
https://doi.org/10.1063/5.0166092 [Citations: 9] -
Numerical investigation on performance of three solution reconstructions at cell interface in DVM simulation of flows in all Knudsen number regimes
Yang, L.M. | Shu, C. | Yang, W.M. | Wu, J. | Zhang, M.Q.International Journal for Numerical Methods in Fluids, Vol. 90 (2019), Iss. 11 P.545
https://doi.org/10.1002/fld.4734 [Citations: 6] -
Stochastic Galerkin Particle Methods for Kinetic Equations of Plasmas with Uncertainties
Medaglia, Andrea | Pareschi, Lorenzo | Zanella, MattiaSSRN Electronic Journal , Vol. (2022), Iss.
https://doi.org/10.2139/ssrn.4196486 [Citations: 0] -
Study on Validity of Low-Magnetic-Reynolds-Number Assumption for Hypersonic Magnetohydrodynamic Control
Peng, Shunhao | Jin, Ke | Zheng, XiaojingAIAA Journal, Vol. 60 (2022), Iss. 12 P.6536
https://doi.org/10.2514/1.J061968 [Citations: 4] -
Unified gas-kinetic particle method for dilute granular flow and its application in a solid jet
Wang, Zhao | Yan, HongActa Mechanica Sinica, Vol. 36 (2020), Iss. 1 P.22
https://doi.org/10.1007/s10409-019-00908-4 [Citations: 5] -
An efficient energy conserving semi-Lagrangian kinetic scheme for the Vlasov-Ampère system
Liu, Hongtao | Cai, Xiaofeng | Cao, Yong | Lapenta, GiovanniJournal of Computational Physics, Vol. 492 (2023), Iss. P.112412
https://doi.org/10.1016/j.jcp.2023.112412 [Citations: 4] -
An implicit unified gas-kinetic scheme for unsteady flow in all Knudsen regimes
Zhu, Yajun | Zhong, Chengwen | Xu, KunJournal of Computational Physics, Vol. 386 (2019), Iss. P.190
https://doi.org/10.1016/j.jcp.2019.01.033 [Citations: 47] -
The collisional particle-in-cell method for the Vlasov–Maxwell–Landau equations
Bailo, Rafael | Carrillo, José A. | Hu, JingweiJournal of Plasma Physics, Vol. 90 (2024), Iss. 4
https://doi.org/10.1017/S0022377824001077 [Citations: 0] -
An implicit unified gas-kinetic wave–particle method for radiative transport process
Liu, Chang | Li, Weiming | Wang, Yanli | Song, Peng | Xu, KunPhysics of Fluids, Vol. 35 (2023), Iss. 11
https://doi.org/10.1063/5.0174774 [Citations: 3] -
Unified gas-kinetic wave-particle methods I: Continuum and rarefied gas flow
Liu, Chang | Zhu, Yajun | Xu, KunJournal of Computational Physics, Vol. 401 (2020), Iss. P.108977
https://doi.org/10.1016/j.jcp.2019.108977 [Citations: 61] -
General synthetic iterative scheme for rarefied gas mixture flows
Zeng, Jianan | Li, Qi | Wu, LeiJournal of Computational Physics, Vol. 519 (2024), Iss. P.113420
https://doi.org/10.1016/j.jcp.2024.113420 [Citations: 1] -
Flow pattern diagram of compressible non-equilibrium gas flow around a circular cylinder
Chen, Fang | Liu, Kun | Li, Ping | Ji, LuchengPhysics of Fluids, Vol. 35 (2023), Iss. 9
https://doi.org/10.1063/5.0159466 [Citations: 1] -
A Unified Gas Kinetic Scheme for Transport and Collision Effects in Plasma
Pan, Dongxin | Zhong, Chengwen | Zhuo, Congshan | Tan, WeiApplied Sciences, Vol. 8 (2018), Iss. 5 P.746
https://doi.org/10.3390/app8050746 [Citations: 12] -
Unified gas-kinetic wave–particle method for gas–particle two-phase flow from dilute to dense solid particle limit
Yang, Xiaojian | Shyy, Wei | Xu, KunPhysics of Fluids, Vol. 34 (2022), Iss. 2
https://doi.org/10.1063/5.0081105 [Citations: 8] -
A unified gas-kinetic scheme for micro flow simulation based on linearized kinetic equation
Liu, Chang | Xu, KunAdvances in Aerodynamics, Vol. 2 (2020), Iss. 1
https://doi.org/10.1186/s42774-020-00045-8 [Citations: 10] -
A Unified Computational Fluid Dynamics Framework from Rarefied to Continuum Regimes
Xu, Kun
2021
https://doi.org/10.1017/9781108877534 [Citations: 16] -
Plume influence analysis of small bipropellant thruster on solar array of GEO satellite
Lee, Kyun Ho | Peters, MichaelPLOS ONE, Vol. 13 (2018), Iss. 9 P.e0199667
https://doi.org/10.1371/journal.pone.0199667 [Citations: 1] -
Unified gas-kinetic scheme for the monodisperse gas-particle flow and its application in the shock-driven multiphase instability
Wang, Zhao | Yan, HongInternational Journal of Multiphase Flow, Vol. 119 (2019), Iss. P.95
https://doi.org/10.1016/j.ijmultiphaseflow.2019.07.010 [Citations: 4] -
A direct relaxation process for particle methods in gas-kinetic theory
Yang, Sirui | Liu, Sha | Zhong, Chengwen | Cao, Junzhe | Zhuo, CongshanPhysics of Fluids, Vol. 33 (2021), Iss. 7
https://doi.org/10.1063/5.0055632 [Citations: 7] -
Discrete unified gas kinetic scheme for all Knudsen number flows. III. Binary gas mixtures of Maxwell molecules
Zhang, Yue | Zhu, Lianhua | Wang, Ruijie | Guo, ZhaoliPhysical Review E, Vol. 97 (2018), Iss. 5
https://doi.org/10.1103/PhysRevE.97.053306 [Citations: 41] -
An implicit unified gas-kinetic particle method with large time steps for gray radiation transport
Hu, Yuan | Liu, Chang | Shen, Huayun | Xiao, Gang | Li, JinghongPhysics of Fluids, Vol. 36 (2024), Iss. 11
https://doi.org/10.1063/5.0229897 [Citations: 0] -
A positive preserving gas‐kinetic scheme for relativistic Vlasov‐Bhatnagar‐Gross‐Krook‐Maxwell model
Wang, Yi | Ni, Guoxi | Zhang, JiexingInternational Journal for Numerical Methods in Fluids, Vol. 94 (2022), Iss. 7 P.756
https://doi.org/10.1002/fld.5073 [Citations: 2] -
Modeling of nonequilibrium effects in a compressible plasma based on the lattice Boltzmann method
Huang, Haoyu | Jin, Ke | Li, Kai | Zheng, XiaojingPhysics of Plasmas, Vol. 31 (2024), Iss. 9
https://doi.org/10.1063/5.0211465 [Citations: 0] -
Interaction between lateral jet and hypersonic rarefied flow
Zhao, Guang | Zhong, Chengwen | Liu, Sha | Chen, Jianfeng | Zhuo, CongshanAerospace Science and Technology, Vol. 152 (2024), Iss. P.109342
https://doi.org/10.1016/j.ast.2024.109342 [Citations: 1] -
GKS and UGKS for High-Speed Flows
Zhu, Yajun | Zhong, Chengwen | Xu, KunAerospace, Vol. 8 (2021), Iss. 5 P.141
https://doi.org/10.3390/aerospace8050141 [Citations: 8] -
Unified gas-kinetic wave-particle methods III: Multiscale photon transport
Li, Weiming | Liu, Chang | Zhu, Yajun | Zhang, Jiwei | Xu, KunJournal of Computational Physics, Vol. 408 (2020), Iss. P.109280
https://doi.org/10.1016/j.jcp.2020.109280 [Citations: 26] -
The pair correlation function of a multi-component plasma: theory and numerics
Bezziou, H. | Douis, S. | Meftah, M.T.Physics and Chemistry of Liquids, Vol. 59 (2021), Iss. 1 P.138
https://doi.org/10.1080/00319104.2019.1698038 [Citations: 0] -
Flow characteristics of low pressure chemical vapor deposition in the micro-channel
Yang, Zhou | Zhang, Yue | Cheng, Yi | Liu, Zhongfan | Chen, SongzePhysics of Fluids, Vol. 33 (2021), Iss. 8
https://doi.org/10.1063/5.0061129 [Citations: 2] -
Hydrodynamic and Thermodynamic Nonequilibrium Effects around Shock Waves: Based on a Discrete Boltzmann Method
Lin, Chuandong | Su, Xianli | Zhang, YudongEntropy, Vol. 22 (2020), Iss. 12 P.1397
https://doi.org/10.3390/e22121397 [Citations: 9] -
Hydrodynamic expansion and plume splitting of the ultrafast laser-induced plasma during ablation of multi-element metallic materials under atmospheric condition
Zhang, Sijie | Shin, Yung C.Journal of Applied Physics, Vol. 135 (2024), Iss. 8
https://doi.org/10.1063/5.0180514 [Citations: 1] -
Simplified unified wave-particle method with quantified model-competition mechanism for numerical calculation of multiscale flows
Liu, Sha | Zhong, Chengwen | Fang, MingPhysical Review E, Vol. 102 (2020), Iss. 1
https://doi.org/10.1103/PhysRevE.102.013304 [Citations: 19] -
Implementing the direct relaxation process in the stochastic particle method for flexible molecular collisions
Geng, Peiyuan | Liu, Sha | Yang, Sirui | Cao, Junzhe | Zhuo, Congshan | Zhong, ChengwenPhysics of Fluids, Vol. 35 (2023), Iss. 8
https://doi.org/10.1063/5.0165757 [Citations: 2] -
An implicit kinetic inviscid flux for predicting continuum flows in all speed regimes
Cao, Junzhe | Liu, Sha | Zhong, Chengwen | Zhuo, CongshanPhysics of Fluids, Vol. 33 (2021), Iss. 4
https://doi.org/10.1063/5.0044107 [Citations: 6] -
Gas-kinetic scheme for partially ionized plasma in hydrodynamic regime
Pu, Zhigang | Liu, Chang | Xu, KunJournal of Computational Physics, Vol. 505 (2024), Iss. P.112905
https://doi.org/10.1016/j.jcp.2024.112905 [Citations: 0] -
Investigation of gurney flap on aerodynamic characteristics of NACA4412 airfoil
Pei, Wang | Jin, Li | Dingwu, Jiang | Meiliang, Mao | Haomin, Li2ND INTERNATIONAL CONFERENCE ON ADVANCED EARTH SCIENCE AND FOUNDATION ENGINEERING (ICASF 2023): Advanced Earth Science and Foundation Engineering, (2024), P.150003
https://doi.org/10.1063/5.0188920 [Citations: 0] -
Multiscale Radiative Transfer in Cylindrical Coordinates
Sun, Wenjun | Jiang, Song | Xu, KunCommunications on Applied Mathematics and Computation, Vol. 1 (2019), Iss. 1 P.117
https://doi.org/10.1007/s42967-019-0007-x [Citations: 2] -
UGKS-Based Implicit Iterative Method for Multiscale Nonequilibrium Flow Simulations
Xu, Xiaocong | Zhu, Yajun | Liu, Chang | Xu, KunSIAM Journal on Scientific Computing, Vol. 44 (2022), Iss. 4 P.B996
https://doi.org/10.1137/21M1421398 [Citations: 3] -
Multiscale kinetic inviscid flux extracted from a gas-kinetic scheme for simulating incompressible and compressible flows
Liu, Sha | Cao, Junzhe | Zhong, ChengwenPhysical Review E, Vol. 102 (2020), Iss. 3
https://doi.org/10.1103/PhysRevE.102.033310 [Citations: 8] -
Unified gas-kinetic scheme with multigrid convergence for rarefied flow study
Zhu, Yajun | Zhong, Chengwen | Xu, KunPhysics of Fluids, Vol. 29 (2017), Iss. 9
https://doi.org/10.1063/1.4994020 [Citations: 61] -
Mesoscopic simulation of nonequilibrium detonation with discrete Boltzmann method
Lin, Chuandong | Luo, Kai H.Combustion and Flame, Vol. 198 (2018), Iss. P.356
https://doi.org/10.1016/j.combustflame.2018.09.027 [Citations: 45] -
A unified gas-kinetic scheme for axisymmetric flow in all Knudsen number regimes
Li, Shiyi | Li, Qibing | Fu, Song | Xu, KunJournal of Computational Physics, Vol. 366 (2018), Iss. P.144
https://doi.org/10.1016/j.jcp.2018.04.004 [Citations: 7] -
An implicit lattice Boltzmann method for simulations of compressible plasma kinetics
Huang, Haoyu | Jin, Ke | Li, Kai | Li, Heng | Zheng, XiaojingPhysics of Fluids, Vol. 36 (2024), Iss. 8
https://doi.org/10.1063/5.0221986 [Citations: 0] -
Conservative semi-Lagrangian kinetic scheme coupled with implicit finite element field solver for multidimensional Vlasov Maxwell system
Liu, Hongtao | Cai, Xiaofeng | Lapenta, Giovanni | Cao, YongCommunications in Nonlinear Science and Numerical Simulation, Vol. 102 (2021), Iss. P.105941
https://doi.org/10.1016/j.cnsns.2021.105941 [Citations: 7] -
Discrete unified gas kinetic scheme for a reformulated BGK–Vlasov–Poisson system in all electrostatic plasma regimes
Liu, Hongtao | Shi, Feng | Wan, Jie | He, Xiaoming | Cao, YongComputer Physics Communications, Vol. 255 (2020), Iss. P.107400
https://doi.org/10.1016/j.cpc.2020.107400 [Citations: 13] -
An asymptotic preserving kinetic scheme for the M1 model of linear transport
Feugeas, Jean-Luc | Mathiaud, Julien | Mieussens, Luc | Vigier, ThomasMathematics and Computers in Simulation, Vol. 226 (2024), Iss. P.383
https://doi.org/10.1016/j.matcom.2024.07.018 [Citations: 0] -
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties
Medaglia, Andrea | Pareschi, Lorenzo | Zanella, MattiaJournal of Computational Physics, Vol. 479 (2023), Iss. P.112011
https://doi.org/10.1016/j.jcp.2023.112011 [Citations: 4] -
Unified gas-kinetic wave-particle methods IV: multi-species gas mixture and plasma transport
Liu, Chang | Xu, KunAdvances in Aerodynamics, Vol. 3 (2021), Iss. 1
https://doi.org/10.1186/s42774-021-00062-1 [Citations: 21] -
Conservative discrete-velocity method for the ellipsoidal Fokker-Planck equation in gas-kinetic theory
Liu, Sha | Yuan, Ruifeng | Javid, Usman | Zhong, ChengwenPhysical Review E, Vol. 100 (2019), Iss. 3
https://doi.org/10.1103/PhysRevE.100.033310 [Citations: 8] -
A unified gas-kinetic scheme for continuum and rarefied flows VI: Dilute disperse gas-particle multiphase system
Liu, Chang | Wang, Zhao | Xu, KunJournal of Computational Physics, Vol. 386 (2019), Iss. P.264
https://doi.org/10.1016/j.jcp.2018.12.040 [Citations: 33] -
A Strang-splitting based unified gas-kinetic scheme for two species plasma in spherical coordinate
Wang, Yi | Li, Ruo | Wang, Yanli | Ni, GuoxiComputers & Fluids, Vol. 266 (2023), Iss. P.106052
https://doi.org/10.1016/j.compfluid.2023.106052 [Citations: 0] -
Progress of the unified wave-particle methods for non-equilibrium flows from continuum to rarefied regimes
Liu, Sha | Xu, Kun | Zhong, ChengwenActa Mechanica Sinica, Vol. 38 (2022), Iss. 6
https://doi.org/10.1007/s10409-022-22123-x [Citations: 5] -
Unified gas-kinetic wave-particle methods. II. Multiscale simulation on unstructured mesh
Zhu, Yajun | Liu, Chang | Zhong, Chengwen | Xu, KunPhysics of Fluids, Vol. 31 (2019), Iss. 6
https://doi.org/10.1063/1.5097645 [Citations: 51] -
Discrete unified gas kinetic scheme for electrostatic plasma and its comparison with the particle-in-cell method
Liu, Hongtao | Quan, Lulu | Chen, Qing | Zhou, Shengjin | Cao, YongPhysical Review E, Vol. 101 (2020), Iss. 4
https://doi.org/10.1103/PhysRevE.101.043307 [Citations: 18] -
Multiple-relaxation-time discrete Boltzmann modeling of multicomponent mixture with nonequilibrium effects
Lin, Chuandong | Luo, Kai H. | Xu, Aiguo | Gan, Yanbiao | Lai, HuilinPhysical Review E, Vol. 103 (2021), Iss. 1
https://doi.org/10.1103/PhysRevE.103.013305 [Citations: 23] -
Unified gas-kinetic wave–particle method for polydisperse gas–solid particle multiphase flow
Yang, Xiaojian | Shyy, Wei | Xu, KunJournal of Fluid Mechanics, Vol. 983 (2024), Iss.
https://doi.org/10.1017/jfm.2024.80 [Citations: 1] -
Computational fluid dynamics with the coupled discrete unified gas kinetic scheme (CDUGKS)
Zamora, Alvaro | Slaughter, Elliott | Abel, TomMonthly Notices of the Royal Astronomical Society, Vol. 521 (2023), Iss. 2 P.3186
https://doi.org/10.1093/mnras/stad770 [Citations: 0]