A numerical approximation for the standard one pressure system of two fluid flows with energy equations
Mathilde Colombeau

TL;DR
This paper presents a numerical scheme for the standard one pressure model of two fluid flows with energy equations, applicable to both hyperbolic and nonhyperbolic systems, and compares their results with experimental phenomena.
Contribution
It introduces a versatile numerical scheme that works for both solved and nonsolved systems, providing insights into the effects of hyperbolicity on solution accuracy and physical phenomena.
Findings
Hyperbolic systems yield better numerical quality.
Nonhyperbolic models show velocity peaks similar to experimental gas kick phenomena.
The scheme's results align with previous methods for hyperbolic systems.
Abstract
We study numerically the standard one pressure model of two fluid flows with energy equations. This system is not solved in time derivative. It has been transformed into an equivalent system solved in time derivative. We show that the scheme in this paper applies to both solved and nonsolved systems and gives same results. One usually adds a nonphysical term to render the system hyperbolic. However, explicit solutions and well posedness of the Cauchy problem for some nonlinear nonhyperbolic systems of physics have been obtained in some events by [B. Keyfitz et al.]. We also show that our scheme applies equally well to both versions, with and without the additional term, whether solved in time derivative or not, which provides four versions of the system. We observe that the nonhyperbolic and the hyperbolic systems give very close but slightly different results: the step values are…
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 · Computational Fluid Dynamics and Aerodynamics · Meteorological Phenomena and Simulations
