vix.ing · top · new · best · stats · spec

Multiscale approximation and two-grid preconditioner for extremely anisotropic heat flow

2024/12/11 by Maria Vasilyeva, Vasilyeva, Maria, Golo A. Wimmer +3 · 2 citations
Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #Composite Material Mechanics #FOS: Mathematics #Numerical Analysis (math.NA)

paper · pdf · doi:10.48550/arxiv.2412.08355

openalex publication_date 2024/12/11 · openalex created_date 2024/12/13 · openalex updated_date 2026/07/28

Abstract

We consider anisotropic heat flow with extreme anisotropy, as arises in magnetized plasmas for fusion applications. Such problems pose significant challenges in both obtaining an accurate approximation as well in the construction of an efficient solver. In both cases, the underlying difficulty is in forming an accurate approximation of temperature fields that follow the direction of complex, non-grid-aligned magnetic fields. In this work, we construct a highly accurate coarse grid approximation using spectral multiscale basis functions based on local anisotropic normalized Laplacians. We show that the local generalized spectral problems yield local modes that align with magnetic fields, and provide an excellent coarse-grid approximation of the problem. We then utilize this spectral coarse space as an approximation in itself, and as the coarse-grid in a two-level spectral preconditioner. Numerical results are presented for several magnetic field distributions and anisotropy ratios up to 1012, showing highly accurate results with a large system size reduction, and two-grid preconditioning that converges in O(1) iterations, independent of anisotropy.

Cited by

Related