Convergence and error estimates of a penalization finite volume method for the compressible Navier-Stokes system
M\'aria Luk\'a\v{c}ov\'a-Medvid'ov\'a, Bangwei She, Yuhuan Yuan

TL;DR
This paper introduces a penalization finite volume method for the compressible Navier-Stokes system, providing convergence and error estimates by embedding the physical domain into a larger computational domain and analyzing the penalized problem.
Contribution
It offers a novel penalty approach to analyze domain approximation errors and derives convergence and error estimates for the finite volume method in compressible fluid simulations.
Findings
Numerical solutions converge to dissipative weak solutions.
Error estimates are derived when strong solutions exist.
Numerical experiments confirm theoretical convergence and error bounds.
Abstract
In numerical simulations a smooth domain occupied by a fluid has to be approximated by a computational domain that typically does not coincide with a physical domain. Consequently, in order to study convergence and error estimates of a numerical method domain-related discretization errors, the so-called variational crimes, need to be taken into account. In this paper we present an elegant alternative to a direct, but rather technical, analysis of variational crimes by means of the penalty approach. We embed the physical domain into a large enough cubed domain and study the convergence of a finite volume method for the corresponding domain-penalized problem. We show that numerical solutions of the penalized problem converge to a generalized, the so-called dissipative weak, solution of the original problem. If a strong solution exists, the dissipative weak solution emanating from the same…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Reservoir Engineering and Simulation Methods
