Entropy-Stable Schemes in the Low-Mach-Number Regime: Flux-Preconditioning, Entropy Breakdowns, and Entropy Transfers
Ayoub Gouasmi, Karthik Duraisamy, and Scott M. Murman

TL;DR
This paper investigates entropy-stable schemes in low-Mach-number flows, demonstrating how flux-preconditioning can enhance their local behavior without compromising global stability, supported by analytical conditions and numerical tests.
Contribution
It introduces conditions for preconditioned fluxes to remain entropy-stable and develops entropy-stable variants of existing fluxes, improving low-Mach-number flow simulations.
Findings
Preconditioned fluxes can be entropy-stable under certain conditions.
Flux-preconditioning improves local accuracy without losing global stability.
Numerical tests confirm enhanced behavior in low-Mach regimes.
Abstract
Entropy-Stable (ES) schemes, specifically those built from [Tadmor \textit{Math. Comput.} 49 (1987) 91], have been gaining interest over the past decade, especially in the context of under-resolved simulations of compressible turbulent flows using high-order methods. These schemes are attractive because they can provide stability in a global and nonlinear sense (consistency with thermodynamics). However, fully realizing the potential of ES schemes requires a better grasp of their local behavior. Entropy-stability itself does not imply good local behavior [Gouasmi \textit{et al.} \textit{J. Sci. Comp.} 78 (2019) 971, Gouasmi \textit{et al.} \textit{Comput. Methd. Appl. M.} 363 (2020) 112912]. In this spirit, we studied ES schemes in problems where \textit{global stability is not the core issue}. In the present work, we consider the accuracy degradation issues typically encountered by…
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Taxonomy
TopicsModel Reduction and Neural Networks · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows
