Towards Robust Numerical Solvers for Nuclear Fusion Simulations Using JOREK

Master Thesis (2023)
Author(s)

A.S. Quinlan (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

V.N.S.R. Dwarka – Mentor (TU Delft - Numerical Analysis)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Alex Quinlan
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Alex Quinlan
Graduation Date
29-09-2023
Awarding Institution
Delft University of Technology
Programme
['Computer Simulations for Science and Engineering (COSSE)']
Sponsors
Max Planck Institute for Plasma Physics, Garching b. M.
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

One of the most well-established codes for modeling non-linear Magnetohydrodynamics (MHD) for tokamak reactors is JOREK, which solves these equations with a Bézier surface based finite element method. This code produces a highly sparse but also very large linear system. The main solver behind the code uses the Generalized Minimum Residual Method (GMRES) with a physics-based preconditioner. Even with the preconditioner there are issues with memory and computation costs and the solver doesn’t always converge well. This work contains the first thorough study of the mathematical properties of the underlying linear system, enabling us to diagnose and pinpoint the cause of hampered convergence. In particular, analyzing the spectral properties of the matrix and the preconditioned system with numerical linear algebra techniques will open the door to research and investigate more performant solver strategies, such as projection methods.

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