Solver comparison for Poisson-like equations on tokamak geometries

نویسندگان

چکیده

The solution of Poisson-like equations defined on a complex geometry is required for gyrokinetic simulations, which are important the modelling plasma turbulence in nuclear fusion devices such as ITER tokamak. In this paper, we compare three existing solvers finely tuned to solve problem, terms accuracy solution, and their computational efficiency. We also consider practical implementation aspects, including parallel efficiency code, potentially enabling an integration state-of-the-art first-principle simulation framework. first, Spline FEM solver, uses C1 polar splines construct finite elements method solves equation curvilinear coordinates. resulting linear system solved using conjugate gradient method. second, GMGPolar symmetric difference discretise differential equation. tailored geometric multigrid scheme, with combination zebra circle radial line smoothers, together implicit extrapolation scheme. third, Embedded Boundary volumes Cartesian coordinates embedded boundary solver shown be most accurate. use least memory. fastest cases. All capable solving realistic non-analytical geometry. additionally used attempt X-point

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A massively parallel solver for discrete Poisson-like problems

The paper considers the parallel implementation of an algebraic multigrid method. The sequential version is well suited to solve linear systems arising from the discretization of scalar elliptic PDEs. It is scalable in the sense that the time needed to solve a system is (under known conditions) proportional to the number of unknowns. The associate software code is also robust and often signific...

متن کامل

A generalized Poisson and Poisson-Boltzmann solver for electrostatic environments.

The computational study of chemical reactions in complex, wet environments is critical for applications in many fields. It is often essential to study chemical reactions in the presence of applied electrochemical potentials, taking into account the non-trivial electrostatic screening coming from the solvent and the electrolytes. As a consequence, the electrostatic potential has to be found by s...

متن کامل

A Tensor-Train accelerated solver for integral equations in complex geometries

We present a framework using the Quantized Tensor Train (QTT) decomposition to accurately and efficiently solve volume and boundary integral equations in three dimensions. We describe how the QTT decomposition can be used as a hierarchical compression and inversion scheme for matrices arising from the discretization of integral equations. For a broad range of problems, computational and storage...

متن کامل

A fast solver for the Stokes equations with distributed forces in complex geometries

We present a new method for the solution of the Stokes equations. The main features of our method are: (1) it can be applied to arbitrary geometries in a black-box fashion; (2) it is second-order accurate; and (3) it has optimal algorithmic complexity. Our approach, to which we refer as the embedded boundary integral method (EBI), is based on Anita Mayo s work for the Poisson s equation: ‘‘The ...

متن کامل

Gerris: a Tree-based Adaptive Solver for the Incompressible Euler Equations in Complex Geometries

An adaptive mesh projection method for the time-dependent incompressible Euler equations is presented. The domain is spatially discretised using quad/octrees and a multilevel Poisson solver is used to obtain the pressure. Complex solid boundaries are represented using a volume-of-fluid approach. Second-order convergence in space and time is demonstrated on regular, statically and dynamically re...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Computational Physics

سال: 2023

ISSN: ['1090-2716', '0021-9991']

DOI: https://doi.org/10.1016/j.jcp.2023.112249