Grad–Shafranov equation explained
The Grad–Shafranov equation (H. Grad and H. Rubin (1958); Vitalii Dmitrievich Shafranov (1966)) is the equilibrium equation in ideal magnetohydrodynamics (MHD) for a two dimensional plasma, for example the axisymmetric toroidal plasma in a tokamak. This equation takes the same form as the Hicks equation from fluid dynamics.[1] This equation is a two-dimensional, nonlinear, elliptic partial differential equation obtained from the reduction of the ideal MHD equations to two dimensions, often for the case of toroidal axisymmetry (the case relevant in a tokamak). Taking
as the cylindrical coordinates, the flux function
is governed by the equation,where
is the magnetic permeability,
is the
pressure,
and the magnetic field and current are, respectively, given by
The nature of the equilibrium, whether it be a tokamak, reversed field pinch, etc. is largely determined by the choices of the two functions
and
as well as the boundary conditions.
Derivation (in Cartesian coordinates)
In the following, it is assumed that the system is 2-dimensional with
as the invariant axis, i.e.
produces 0 for any quantity. Then the magnetic field can be written in cartesian coordinates as
or more compactly,
where
} is the
vector potential for the in-plane (x and y components) magnetic field. Note that based on this form for
B we can see that
A is constant along any given magnetic field line, since
is everywhere perpendicular to
B. (Also note that -A is the flux function
mentioned above.)
Two dimensional, stationary, magnetic structures are described by the balance of pressure forces and magnetic forces, i.e.:where p is the plasma pressure and j is the electric current. It is known that p is a constant along any field line, (again since
is everywhere perpendicular to
B). Additionally, the two-dimensional assumption (
) means that the z- component of the left hand side must be zero, so the z-component of the magnetic force on the right hand side must also be zero. This means that
, i.e.
is parallel to
.
The right hand side of the previous equation can be considered in two parts:where the
subscript denotes the component in the plane perpendicular to the
-axis. The
component of the current in the above equation can be written in terms of the one-dimensional vector potential as
The in plane field isand using Maxwell–Ampère's equation, the in plane current is given by
In order for this vector to be parallel to
as required, the vector
must be perpendicular to
, and
must therefore, like
, be a field-line invariant.
Rearranging the cross products above leads toand
These results can be substituted into the expression for
to yield:
Since
and
are constants along a field line, and functions only of
, hence
and
. Thus, factoring out
and rearranging terms yields the
Grad–Shafranov equation:
Derivation in contravariant representation
This derivation is only used for Tokamaks, but it can be enlightening. Using the definition of 'The Theory of Toroidally Confined Plasmas 1:3'(Roscoe White), Writing
by contravariant basis
(\nabla\Psi,\nabla\phi,\nabla\zeta)
:
we have
:
then force balance equation:
Working out, we have:
Further reading
- Grad, H., and Rubin, H. (1958) Hydromagnetic Equilibria and Force-Free Fields . Proceedings of the 2nd UN Conf. on the Peaceful Uses of Atomic Energy, Vol. 31, Geneva: IAEA p. 190.
- Shafranov, V.D. (1966) Plasma equilibrium in a magnetic field, Reviews of Plasma Physics, Vol. 2, New York: Consultants Bureau, p. 103.
- Woods, Leslie C. (2004) Physics of plasmas, Weinheim: WILEY-VCH Verlag GmbH & Co. KGaA, chapter 2.5.4
- Haverkort, J.W. (2009) Axisymmetric Ideal MHD Tokamak Equilibria. Notes about the Grad–Shafranov equation, selected aspects of the equation and its analytical solutions.
- Haverkort, J.W. (2009) Axisymmetric Ideal MHD equilibria with Toroidal Flow. Incorporation of toroidal flow, relation to kinetic and two-fluid models, and discussion of specific analytical solutions.
Notes and References
- Smith, S. G. L., & Hattori, Y. (2012). Axisymmetric magnetic vortices with swirl. Communications in Nonlinear Science and Numerical Simulation, 17(5), 2101-2107.