An Asymptotic-Preserving Micro--Macro Scheme for Plasma Simulations in Quasi-Neutral and Low-Mach-Number Regimes with Kinetic Upgrades
Zeyu Liu, Fabrice Deluzet, Chang Yang
Abstract
We propose an asymptotic-preserving micro--macro method bridging a kinetic description of electrons and a low-frequency reduced model in which the electrons are a massless, quasi-neutral fluid obeying the Boltzmann relation. Two features distinguish the construction. First, the fluid and low-Mach limits are coupled, so that the low-Mach stiffness is handled on a macroscopic system, where implicit treatment is affordable, rather than on the kinetic equations. Second, an auxiliary variable rescales the stiff force balance, turning the singular low-Mach limit into a regular limit of the augmented system, which is shown to remain non-degenerate uniformly in the Debye length as well. This matters at the discrete level: with an iterative linear solver, the stiffness induced by the small Mach number amplifies the solver residual, so that a scheme designed to be asymptotic-preserving in its time discretization alone loses that property once the full solution chain is taken into account. The proposed scheme retains it, with no tightening of the solver tolerance as the Mach number vanishes, and admits a post-processing variant that decouples the auxiliary variable and reduces the size of the linear system. Numerical experiments spanning distinct parameter regimes confirm the analysis: standard semi-implicit schemes lose low-Mach-number equilibrium under residual amplification, whereas the proposed schemes preserve it down to round-off.
Create a lesson
Related papers
Graph lattice sums and graph zeta functions for long-range interacting quantum lattice models
Andreas Alexander Buchheit, Andreas Rupp
A numerical benchmark for fluid--structure--contact interaction
Daniele Corti, Jakub Fara, Miguel Angel Fernández et al.
Largest-dihedral-angle bisection algorithm does not preserve mesh regularity for tetrahedral partitions
Sergey Korotov, Jérôme Michaud
A Highly Scalable Quantized Tensor-Train FDTD Framework for the Simulation of Three-Dimensional Electromagnetic Scattering Problems
Daan Vanhaecke, Emile Vanderstraeten, Dries Vande Ginste
Pressure-robustness by commuting interpolation operators for Stokes discretizations with continuous pressures
Philip L. Lederer, Theresa Vock
A Reynolds-Semi-Robust, Globally Divergence-Free HDG Method for the Smagorinsky Model
Shuaijun Liu, Xiaoping Xie