Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session CP11: Poster Session II: Basic Plasma Physics; Boundary, PMI, Proto-MPEX; International Tokamaks; Turbulence and Transport; Other Configurations; Z-pinch, Dense Plasma Focus and MagLIF (2:00pm-5:00pm)
Monday, November 5, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.CP11.41
Abstract: CP11.00041 : A fully implicit, asymptotic-preserving, semi-Lagrangian algorithm for the time dependent anisotropic heat transport equation.
Presenter:
Oleksandr Koshkarov
(Los Alamos National Laboratory)
Authors:
Oleksandr Koshkarov
(Los Alamos National Laboratory)
Luis Chacon
(Los Alamos National Laboratory)
Large transport anisotropy (χparallel/χperpendicular ∼1010), chaotic magnetic fields, and non-local heat closures make solving the electron transport equation in magnetized plasmas extremely challenging. A recently developed asymptotic-preserving semi-Lagrangian method1 overcomes this complexity by an analytical treatment of the direction parallel to the magnetic field in conjunction with modern preconditioning for perpendicular direction. In principle, the method is able to deal with arbitrary anisotropy ratios, different parallel heat-flux closures, and non-trivial magnetic topologies accurately and efficiently. However, the approach was first-order operator-split, and featured an accuracy-based time step limitation, which can be problematic in the presence of islands, and stochastic regions. Here, we present the extension of this algorithm to allow implicit time integration. The implicit algorithm is second-order accurate, and guarantees superior conservation and positivity-preserving properties, which were not ensured by the operator-split implementation. We demonstrate the merits and accuracy of the method with a two dimensional boundary layer problem, which admits an exact analytical solution.
[1] - L. Chacon, et al., JCP, 272, 719, 2014
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.CP11.41
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