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An implicit, nonlinear reduced resistive MHD solver

delete2002-05-01
delete97
PRE
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L
Luis Chacòn
D
D. A. Knoll
J
John M. Finn
DOI:10.1006/jcph.2002.7015delete
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摘要

摘要

En 中文
Implicit time differencing of the resistive magnetohydrodynamic (MHD) equations can step over the limiting time scales-such as Alfven time scales-to resolve the dynamic time scales of interest. However, nonlinearities present in these equations make an implicit implementation cumbersome. Here, viable paths for an implicit, nonlinear time integration of the MHD equations are explored using a 2D reduced viscoresistive MHD model. The implicit time integration is performed using the Newton-Raphson iterative algorithm. employing Krylov iterative techniques for the required algebraic matrix inversions, implemented Jacobian-free (i.e., without ever forming and storing the Jacobian matrix). Convergence in Krylov techniques is accelerated by preconditioning the initial problem. A physics-based preconditioner, based on a semi-implicit approximation to the original set of partial differential equations, is employed. The preconditioner employs low-complexity multigrid techniques to invert approximately the resulting elliptic algebraic systems. The resulting 2D reduced resistive MHD implicit algorithm is shown to be successful in dealing with large time steps (on the order of the dynamical time scale of the problem) and fine grids. The algorithm is second-order accurate in time and scalable under grid refinement. Comparison of the implicit CPU time with an explicit integration method demonstrates CPU savings even for moderate (64 x 64) grids, and close to an order of magnitude in fine grids (256 x 256). (C) 2002 Elsevier Science (USA).
Keyword:
Jacobian-free
Newton-Krylov multigrid
physics-based preconditioning
implicit differencing
resistive MHD
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期刊

Journal of Computational Physics 封面图
Journal of Computational Physics
IF:
3.8
论文数:
1.6W
被引数:
7.4W

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