Published February 15, 2023 | Version v1
Journal article

Stencil selection algorithms for WENO schemes on unstructured meshes

  • 1. Centre for Computational Engineering Sciences, Cranfield University, Cranfield, MK43 0AL (United Kingdom)

Description

Highlights: • Various central and directional stencils algorithms presented. • Uniqueness, Cover, Width and Compactness the most dominant parameters for directional stencils. • Algorithms suitability is dependent on the numerical framework. • Adaptive stencils reduce the computational cost of the WENO schemes. -- Abstract: In this paper, a family of stencil selection algorithms is presented for WENO schemes on unstructured meshes. The associated freedom of stencil selection for unstructured meshes, in the context of WENO schemes present a plethora of various stencil selection algorithms. The particular focus of this paper is to assess the performance of various stencil selection algorithm, investigate the parameters that dictate their robustness, accuracy and computational efficiency. Ultimately, efficient and robust stencils are pursued that can provide significant savings in computational performance, while retaining the non-oscillatory character of WENO schemes. This is achieved when making the stencil selection algorithms adaptive, based on the quality of the cells for unstructured meshes, that can in turn reduce the computational cost of WENO schemes. For assessing the performance of the developed algorithms well established test problems are employed. These include the least square approximation of polynomial functions, linear advection equation of smooth functions and solid body rotation test problem. Euler and Navier-Stokes equations test problems are also pursued such as the Shu-Osher test problem, the Double Mach Reflection, the supersonic Forward Facing step, the Kelvin-Helmholtz instability, the Taylor-Green Vortex, and the flow past a transonic circular cylinder.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2019.07.039

Additional details

Identifiers

DOI
10.1016/j.jcp.2019.07.039;
PII
S0021999119305248;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
475
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

Optional Information

Copyright
Copyright (c) 2019 Published by Elsevier Inc.