2014
DOI: 10.1002/ctpp.201410041
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Numerical Methods for 3D Tokamak Simulations Using a Flux‐Surface Independent Grid

Abstract: A numerical approach for 3D Tokamak simulations using a flux surface independent grid is presented. The grid consists of few poloidal planes with a Cartesian isotropic grid within each poloidal plane. Perpendicular operators can be discretised within a poloidal plane using standard second order finite difference methods. The discretisation of parallel operators is achieved with a field line following map and an interpolation. The application of the support operator method to the parallel diffusion operator con… Show more

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Cited by 9 publications
(10 citation statements)
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“…For example in a gyro-fluid model we have the nonlinear elliptic equation ∇ · (N∇ ⊥ φ) = n − N, where n is the electron density, N is the ion gyro-center density, φ the electric potential and ∇ ⊥ the gradient in the direction perpendicular to the magnetic field [45]. Current interest also includes the implementation of the flux-coordinate independent approach to discretize derivatives along arbitrary magnetic field lines [27,54,33]. This type of scheme is particularly important if a magnetic field aligned coordinate system is unavailable due to singularities in the coordinate transformations (X-points).…”
Section: Introductionmentioning
confidence: 99%
“…For example in a gyro-fluid model we have the nonlinear elliptic equation ∇ · (N∇ ⊥ φ) = n − N, where n is the electron density, N is the ion gyro-center density, φ the electric potential and ∇ ⊥ the gradient in the direction perpendicular to the magnetic field [45]. Current interest also includes the implementation of the flux-coordinate independent approach to discretize derivatives along arbitrary magnetic field lines [27,54,33]. This type of scheme is particularly important if a magnetic field aligned coordinate system is unavailable due to singularities in the coordinate transformations (X-points).…”
Section: Introductionmentioning
confidence: 99%
“…Motivated by previous work from [13,14], a numerical scheme is developed which exhibits very low numerical diffusion. The discussion extends previous work from [15]. Several model problems are also discussed in Appendix A The developed numerical methods are implemented in the new code GRILLIX.…”
Section: Introductionmentioning
confidence: 64%
“…We use the bump defined in Eq. (20) with (x 0 , y 0 ) = (420, −470) and σ = 50. This is the lower bump in Fig.…”
Section: P=1mentioning
confidence: 99%
“…For completeness let us also mention recent approaches to use non fluxaligned grids for the discretization of model equations [19,20,21]. Like unstructured grids, these avoid numerical issues with the X-point but shift the problem to the question of how to correctly implement a flux-aligned boundary.…”
Section: Introductionmentioning
confidence: 99%