This paper proposes a hierarchy of numerical fluxes for the compressible flow equations which are kinetic-energy and pressure equilibrium preserving and asymptotically entropy conservative, i.e., they are able to arbitrarily reduce the numerical error on entropy production due to the spatial discretization. The fluxes are based on the use of the harmonic mean for internal energy and only use algebraic operations, making them less computationally expensive than the entropy-conserving fluxes based on the logarithmic mean. The use of the geometric mean is also explored and identified to be well-suited to reduce errors on entropy evolution. Results of numerical tests confirmed the theoretical predictions and the entropy-conserving capabilities of a selection of schemes have been compared.
Asymptotically entropy-conservative and kinetic-energy preserving numerical fluxes for compressible Euler equations / De Michele, C.; Coppola, G.. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - 492:(2023), p. 112439. [10.1016/j.jcp.2023.112439]
Asymptotically entropy-conservative and kinetic-energy preserving numerical fluxes for compressible Euler equations
De Michele C.Primo
;Coppola G.Secondo
2023
Abstract
This paper proposes a hierarchy of numerical fluxes for the compressible flow equations which are kinetic-energy and pressure equilibrium preserving and asymptotically entropy conservative, i.e., they are able to arbitrarily reduce the numerical error on entropy production due to the spatial discretization. The fluxes are based on the use of the harmonic mean for internal energy and only use algebraic operations, making them less computationally expensive than the entropy-conserving fluxes based on the logarithmic mean. The use of the geometric mean is also explored and identified to be well-suited to reduce errors on entropy evolution. Results of numerical tests confirmed the theoretical predictions and the entropy-conserving capabilities of a selection of schemes have been compared.File | Dimensione | Formato | |
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