A second-order direct Eulerian GRP scheme for ten-moment Gaussian closure equations with source terms
Jiangfu Wang, Huazhong Tang

TL;DR
This paper introduces a second-order accurate Eulerian GRP scheme for ten-moment Gaussian closure equations with source terms, providing a detailed numerical method and demonstrating its effectiveness through complex 2D Riemann problem simulations.
Contribution
It develops a novel second-order Eulerian GRP scheme for complex ten-moment equations, including new 2D Riemann problem examples.
Findings
The scheme achieves high accuracy and resolution.
Numerical experiments validate the method's effectiveness.
First-time construction of several 2D Riemann problems.
Abstract
This paper proposes a second-order accurate direct Eulerian generalized Riemann problem (GRP) scheme for the ten-moment Gaussian closure equations with source terms. The generalized Riemann invariants associated with the rarefaction waves, the contact discontinuity and the shear waves are given, and the 1D exact Riemann solver is obtained. After that, the generalized Riemann invariants and the Rankine-Hugoniot jump conditions are directly used to resolve the left and right nonlinear waves (rarefaction wave and shock wave) of the local GRP in Eulerian formulation, and then the 1D direct Eulerian GRP scheme is derived. They are much more complicated, technical and nontrivial due to more physical variables and elementary waves. Some 1D and 2D numerical experiments are presented to check the accuracy and high resolution of the proposed GRP schemes, where the 2D direct Eulerian GRP scheme is…
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
TopicsComputational Fluid Dynamics and Aerodynamics · Meteorological Phenomena and Simulations · Fluid Dynamics and Turbulent Flows
