Artificial diffusion for convective and acoustic low Mach number flows I: Analysis of the modified equations, and application to Roe-type schemes
J. Hope-Collins, L. di Mare

TL;DR
This paper analyzes the low Mach number behavior of Roe-type schemes for Euler equations using modified equations, identifying three diffusion scalings that influence scheme performance across convective, acoustic, and mixed flows.
Contribution
It introduces a unified analysis of artificial diffusion scalings in low Mach flows, extending previous work to include both convective and acoustic effects for Roe-type schemes.
Findings
Identifies three natural diffusion scalings at low Mach numbers.
Shows many schemes match one of these scalings.
Provides refined guidelines for low-Mach scheme design.
Abstract
Three asymptotic limits exist for the Euler equations at low Mach number - purely convective, purely acoustic, and mixed convective-acoustic. Standard collocated density-based numerical schemes for compressible flow are known to fail at low Mach number due to the incorrect asymptotic scaling of the artificial diffusion. Previous studies of this class of schemes have shown a variety of behaviours across the different limits and proposed guidelines for the design of low-Mach schemes. However, these studies have primarily focused on specific discretisations and/or only the convective limit. In this paper, we review the low-Mach behaviour using the modified equations - the continuous Euler equations augmented with artificial diffusion terms - which are representative of a wide range of schemes in this class. By considering both convective and acoustic effects, we show that three diffusion…
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
TopicsFluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations · Computational Fluid Dynamics and Aerodynamics
