paper-2023-upwind
Reproducibility repository for the paper "On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws"
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Reproducibility repository for the paper "On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws"
Basic Info
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Metadata Files
README.md
On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws
This repository contains information and code to reproduce the results presented in the
article
bibtex
@article{ranocha2025robustness,
title={On the robustness of high-order upwind summation-by-parts
methods for nonlinear conservation laws},
author={Ranocha, Hendrik and Winters, Andrew Ross and
Schlottke-Lakemper, Michael and {\"O}ffner, Philipp and
Glaubitz, Jan and Gassner, Gregor Josef},
journal={Journal of Computational Physics},
volume={520},
pages={113471},
year={2025},
month={01},
doi={10.1016/j.jcp.2024.113471},
eprint={2311.13888},
eprinttype={arxiv},
eprintclass={math.NA}
}
If you find these results useful, please cite the article mentioned above. If you
use the implementations provided here, please also cite this repository as
bibtex
@misc{ranocha2025robustnessRepro,
title={Reproducibility repository for
"{O}n the robustness of high-order upwind summation-by-parts methods
for nonlinear conservation laws"},
author={Ranocha, Hendrik and Winters, Andrew Ross and Schlottke-Lakemper,
Michael and {\"O}ffner, Philipp and Glaubitz, Jan and Gassner,
Gregor Josef},
year={2023},
howpublished={\url{https://github.com/trixi-framework/paper-2023-upwind}},
doi={10.5281/zenodo.10200102}
}
Abstract
We use the framework of upwind summation-by-parts (SBP) operators developed by Mattsson (2017, DOI: 10.1016/j.jcp.2017.01.042) study different flux vector splittings in this context. To do so, we introduce discontinuous-Galerkin-like interface terms for multi-block upwind SBP methods applied to nonlinear conservation laws. We investigate the behavior of the upwind SBP methods for flux vectors splittings of varying complexity on Cartesian as well as unstructured curvilinear multi-block meshes. Moreover, we analyze the local linear/energy stability of these methods following Gassner, Svärd, and Hindenlang (2022, DOI: 10.1007/s10915-021-01720-8). Finally, we investigate the robustness of upwind SBP methods for challenging examples of shock-free flows of the compressible Euler equations such as a Kelvin-Helmholtz instability and the inviscid Taylor-Green vortex.
Numerical experiments
The numerical experiments presented in the paper use Trixi.jl. To reproduce the numerical experiments using Trixi.jl, you need to install Julia.
The subfolder code of this repository contains a README.md file with
instructions to reproduce the Cartesian mesh numerical experiments and
the subfolder code_curved contains a README.md file with instructions
to reproduce the curvilinear mesh numerical experiments.
Both subfolders also include information about postprocessing.
The Cartesian mesh numerical experiments were carried out using Julia v1.9.3 and the curvilinear mesh results were carried out using Julia 1.10.0.
Authors
- Hendrik Ranocha (Johannes Gutenberg University Mainz, Germany)
- Andrew Winters (Linköping University, Sweden)
- Michael Schlottke-Lakemper (RWTH Aachen University/University of Stuttgart, Germany)
- Philipp Öffner (TU Clausthal, Germany)
- Jan Glaubitz (MIT, USA)
- Gregor J. Gassner (University of Cologne, Germany)
Disclaimer
Everything is provided as is and without warranty. Use at your own risk!
Owner
- Name: Trixi.jl
- Login: trixi-framework
- Kind: organization
- Website: https://trixi-framework.github.io
- Repositories: 21
- Profile: https://github.com/trixi-framework
Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
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| Name | Commits | |
|---|---|---|
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| Michael Schlottke-Lakemper | m****l@s****m | 3 |
| Andrew Winters | a****s@l****e | 2 |
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