An explicit fourth‐order hybrid‐variable method for Euler equations with a residual‐consistent viscosity

Abstract In this article, we present a formally fourth‐order accurate hybrid‐variable (HV) method for the Euler equations in the context of method of lines. The HV method seeks numerical approximations to both cell averages and nodal solutions and evolves them in time simultaneously; and it is proved in previous work that these methods are supraconvergent, that is, the order of the method is higher than that of the local truncation error. Taking advantage of the supraconvergence, the method is built on a third‐order discrete differential operator, which approximates the first spatial derivative at each grid point using only the information in the two neighboring cells. Analyses of stability, accuracy, and pointwise convergence are conducted in the one‐dimensional case for the linear advection equation; whereas extension to nonlinear systems including the Euler equations is achieved using characteristic decomposition and the incorporation of a residual‐consistent viscosity to capture strong discontinuities. Extensive numerical tests are presented to assess the numerical performance of the method for both 1D and 2D problems.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2024-08-26
DOI
https://doi.org/10.1002/num.23146
Citations
2
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.75

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article

An explicit fourth‐order hybrid‐variable method for Euler equations with a residual‐consistent viscosity

Xianyi Zeng
2 citations
Numerical Methods for Partial Differential Equations
Computational Fluid Dynamics and Aerodynamics
0.75
article

An explicit fourth‐order hybrid‐variable method for Euler equations with a residual‐consistent viscosity

Xianyi Zeng
article en
2 citations

Abstract

Abstract In this article, we present a formally fourth‐order accurate hybrid‐variable (HV) method for the Euler equations in the context of method of lines. The HV method seeks numerical approximations to both cell averages and nodal solutions and evolves them in time simultaneously; and it is proved in previous work that these methods are supraconvergent, that is, the order of the method is higher than that of the local truncation error. Taking advantage of the supraconvergence, the method is built on a third‐order discrete differential operator, which approximates the first spatial derivative at each grid point using only the information in the two neighboring cells. Analyses of stability, accuracy, and pointwise convergence are conducted in the one‐dimensional case for the linear advection equation; whereas extension to nonlinear systems including the Euler equations is achieved using characteristic decomposition and the incorporation of a residual‐consistent viscosity to capture strong discontinuities. Extensive numerical tests are presented to assess the numerical performance of the method for both 1D and 2D problems.

Numerical Methods for Partial Differential EquationsVol. 40(6)
Lehigh University (US)
National Science Foundation, National Science Foundation of Sri Lanka
Openalex Percentile: Top 34%
Computational Fluid Dynamics and Aerodynamics
0.75
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