Conservative Finite Element Approach to Magnetized Plasma Simulation
POSTER
Abstract
The physics of 2D drift-reduced MHD models, including generalizations of the Hasegawa-Mima and Hasegawa-Wakatani models are explored using a new finite element approach to magnetized plasma simulation and compared to results of the GDB finite difference code. These models are implemented using MFEM, a highly scalable finite element library, that can address the challenging physical, geometric, and numerical issues associated with edge plasmas. Recently, we derived and implemented [1] arbitrary polynomial-order finite element spatial discretizations for the drift-reduced magnetohydrodynamics (MHD) equations that conserve both energy and enstrophy to machine precision when coupled with generally symplectic time-integration methods. However, we discovered that the fully conservative model is not accurate at long times and that dissipation must be reintroduced to control the short wavelength part of the spectrum. We found that using an upwinded DG formulation, which dissipates enstrophy while conserving energy, is the most efficient method for generating accurate results for a suite of 2D turbulence test problems. We are extending these results to 3D incompressible MHD and plasma turbulence.
[1] M. Holec, B. Zhu, I. Joseph, et al, arXiv:2202.13022, submitted to J. Comp. Phys. (2022)
[1] M. Holec, B. Zhu, I. Joseph, et al, arXiv:2202.13022, submitted to J. Comp. Phys. (2022)
Publication: [1] M. Holec, B. Zhu, I. Joseph, et al, arXiv:2202.13022, submitted to J. Comp. Phys. (2022)
Presenters
-
Ilon Joseph
Lawrence Livermore Natl Lab
Authors
-
Ilon Joseph
Lawrence Livermore Natl Lab
-
Alejandro Campos
Lawrence Livermore Natl Lab
-
Milan Holec
Lawrence Livermore Natl Lab
-
Chris J Vogl
Lawrence Livermore Natl Lab
-
Ben Zhu
Lawrence Livermore Natl Lab
-
Andris M Dimits
Lawrence Livermore Natl Lab
-
Benjamin Dudson
Lawrence Livermore Natl Lab
-
Tzanio Kolev
Lawrence Livermore Natl Lab
-
Mark L Stowell
Lawrence Livermore Natl Lab
-
Ben S Southworth
Los Alamos Natl Lab