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A FAST ALGEBRAIC MULTIGRID SOLVER AND ACCURATE DISCRETIZATION FOR HIGHLY ANISOTROPIC HEAT FLUX I: OPEN FIELD LINES.

Authors :
WIMMER, GOLO A.
SOUTHWORTH, BENS.
GREGORY, THOMAS J.
XIAN-ZHU TANG
Source :
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 3, pA1821-A1849, 29p
Publication Year :
2024

Abstract

We present a novel solver technique for the anisotropic heat flux equation, aimed at the high level of anisotropy seen in magnetic confinement fusion plasmas. Such problems pose two major challenges: (i) discretization accuracy and (ii) efficient implicit linear solvers. We simultaneously address each of these challenges by constructing a new finite element discretization with excellent accuracy properties, tailored to a novel solver approach based on algebraic multigrid (AMG) methods designed for advective operators. We pose the problem in a mixed formulation, introducing the directional temperature gradient as an auxiliary variable. The temperature and auxiliary fields are discretized in a scalar discontinuous Galerkin space with upwinding principles used for discretizations of advection. We demonstrate the proposed discretization's superior accuracy over other discretizations of anisotropic heat flux, achieving error 1000 x smaller for anisotropy ratio of 10<superscript>9</superscript>, for closed field lines. The block matrix system is reordered and solved in an approach where the two advection operators are inverted using AMG solvers based on approximate ideal restriction, which is particularly efficient for upwind discontinuous Galerkin discretizations of advection. To ensure that the advection operators are nonsingular, in this paper we restrict ourselves to considering open (acyclic) magnetic field lines for the linear solvers. We demonstrate fast convergence of the proposed iterative solver in highly anisotropic regimes where other diffusion-based AMG methods fail. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10648275
Volume :
46
Issue :
3
Database :
Complementary Index
Journal :
SIAM Journal on Scientific Computing
Publication Type :
Academic Journal
Accession number :
178397005
Full Text :
https://doi.org/10.1137/23M155918X