Conservative averaging-reconstruction techniques (Ring Average) for 3-D finite-volume MHD solvers with axis singularity

Binzheng Zhang, Kareem A. Sorathia, John G. Lyon, Viacheslav G. Merkin, Michael Wiltberger

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In cylindrical/spherical geometries, MHD solvers using explicit finite-volume methods face restrictive time steps imposed by the CFL condition due to the clustering of cells in the azimuthal direction near the pole/axis. We use a conservative averaging-reconstruction method (Ring Average) on structured cylindrical/spherical mesh to remove this severe time step restriction for multi-dimensional curvilinear finite-volume MHD solvers. The Ring Average technique is implemented as a post-processing step and thus requires no changes to the existing data structure, grid definition or numerical methods in the original MHD solver. This paper describes the Ring Average algorithm and presents simulation results using field loop advection and MHD blast waves in cylindrical/spherical geometries for validation. The algorithm is shown to be inexpensive and easily implemented in existing curvilinear finite-volume MHD solvers.

Original languageEnglish
Pages (from-to)276-294
Number of pages19
JournalJournal of Computational Physics
Volume376
DOIs
StatePublished - Jan 1 2019

Keywords

  • Axis singularity
  • Finite-volume method
  • Numerical MHD
  • Spherical geometry

Fingerprint

Dive into the research topics of 'Conservative averaging-reconstruction techniques (Ring Average) for 3-D finite-volume MHD solvers with axis singularity'. Together they form a unique fingerprint.

Cite this