SIMULATING EXTREME ANISOTROPY

WITHOUT MESH ALIGNMENT

 

 

Carl Sovinec

Univ. of Wisconsin-Madison

 

Tom Gianakon

Los Alamos National Laboratory

 

 

 

MHD Working Group, Oct. 28 2001

APS 2001, Long Beach CA

 


·      Nonlinear simulations of high-temperature plasmas must be able to resolve thermal transport anisotropy associated with the magnetic field direction.

·       The saturation of pressure-driven modes is sensitive to changes in magnetic topology due to parallel thermal conduction.

·       The ratio of parallel to perpendicular thermal conductivities leads to one threshold mechanism for neoclassical tearing modes.

·      When the magnetic field is aligned with the grid or when the angle between  and the grid is uniform, the anisotropy is accurately represented by standard techniques.

·      A nonlinearly evolving magnetic topology requires more sophisticated approaches:

·       There is curvature in the magnetic field.

·       The topology of islands and stochastic regions is three-dimensional.

·       Even 3D automated mesh refinement schemes would be severely challenged by these conditions; 3D refinement is possible but 3D alignment near a separatrix is not.

·      The NIMROD code has addressed this challenge by using high-order finite-element basis functions, which represent curvature with or without alignment.

·       The increase in spatial convergence rates with basis function order has been verified.

·       Spatial convergence rates are retained with nonuniform meshing.
A quantitative measure of the numerical error can be determined by a simple test problem.

 

·      The simplest thermal conduction problem is a 2D box with Dirichlet boundary conditions and a source.  If the source drives the lowest eigenfunction only,

 

 

        in the domain

 

 ,

 

        it produces the temperature distribution

 

 .

 

·      A numerical test with B everywhere tangent to this temperature distribution and a uniform rectilinear grid has  severely misaligned with the grid.  With  and , the inverse of the resulting T(0,0) is a good measure of the effective  of the numerical algorithm.

 

·      The magnetic field is created by inducing a perpendicular current density distribution that is proportional to the heat source.


 


 


 

Anisotropic Diffusion Demonstration

 

·      Start from S=104, Pm=0.1 saturation of Test Problem 1b (DIII-D-like equilibrium) that had kiso=0.423 m2/s=0.1n.

·      Freeze magnetic evolution and just run anisotropic thermal diffusion over the perpendicular time-scale (100 x resistive time-scale).

·      k=0.423, k||=4.23x108, Dt=1x10-4 s.

·      Island appears in pressure contours immediately.

 


 

Pressure contours (color) after 1.5 ms of anisotropic diffusion overlaid with Poincare surface of section.

 


a)

b)

a) "Probe" located at (R=1.312, Z=-0.248) and b) internal energy vs. time.  Time-scale in a) is ms, and in b) it's 10 ms.

·      Steady-state transport is regained after a perpendicular diffusion time.

a)

b)

a) "Probe" and b) internal energy.  Time-scale is seconds.

 

·      The n=0 pressure profile inside the island drops over the long time-scale, reflecting the loss of insulation over the magnetic island.