Hybridizable discontinuous Galerkin methods for solving the two-fluid plasma model
Andrew Ho, Uri Shumlak
TL;DR
This work addresses the numerical stiffness of the coupled ion/electron fluid and Maxwell system by employing Hybridizable Discontinuous Galerkin methods to enable stable, high-order implicit time stepping. It provides a detailed HDG formulation, including problem decomposition, face-oriented fluxes, and automatic Jacobian generation, validated through convergence studies and large-scale two-fluid plasma simulations. The key contributions are the development of a scalable HDG approach with Schur complement condensation for a 42-equation, 3D-like system, and the demonstration that implicit HDG timestepping can outperform explicit schemes by enabling significantly larger time steps while preserving accuracy. The practical impact lies in enabling robust, high-fidelity simulations of multi-scale plasma dynamics that would be prohibitively expensive with traditional DG methods or explicit time stepping.
Abstract
The two-fluid plasma model has a wide range of timescales which must all be numerically resolved regardless of the timescale on which plasma dynamics occurs. The answer to solving numerically stiff systems is generally to utilize unconditionally stable implicit time advance methods. Hybridizable discontinuous Galerkin (HDG) methods have emerged as a powerful tool for solving stiff partial differential equations. The HDG framework combines the advantages of the discontinuous Galerkin (DG) method, such as high-order accuracy and flexibility in handling mixed hyperbolic/parabolic PDEs with the advantage of classical continuous finite element methods for constructing small numerically stable global systems which can be solved implicitly. In this research we quantify the numerical stability conditions for the two-fluid equations and demonstrate how HDG can be used to avoid the strict stability requirements while maintaining high order accurate results.
