Quantitative derivation of a two-phase porous media system from the one-velocity Baer-Nunziato and Kapila systems
Timoth\'ee Crin-Barat, Ling-Yun Shou, Jin Tan (CY)

TL;DR
This paper rigorously derives a two-phase porous media model from a compressible multi-fluid system through pressure and time relaxation limits, providing explicit convergence rates and advanced analytical techniques.
Contribution
It introduces a comprehensive analysis of relaxation limits in multi-fluid models, including explicit convergence rates and novel spectral and energy estimates.
Findings
Pressure-relaxation limit from Baer-Nunziato to Kapila system justified.
Convergence of Kapila system to porous media model established.
Explicit rates of convergence provided for both relaxation processes.
Abstract
In this paper we investigate two types of relaxation processes quantitatively in the context of small data global-in-time solutions for compressible one-velocity multi-fluid models. First, we justify the pressure-relaxation limit from a one-velocity Baer-Nunziato system to a Kapila model as the pressure-relaxation parameter tends to zero, in a uniform manner with respect to the time-relaxation parameter associated to the friction forces modeled in the equation of the velocity. This uniformity allows us to further consider the time-relaxation limit for the Kapila model. More precisely, we show that the diffusely time-rescaled solution of the Kapila system converges to the solution of a two-phase porous media type system as the time-relaxation parameter tends to zero. For both relaxation limits, we exhibit explicit convergence rates. Our proof of existence results are based on an…
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
TopicsNavier-Stokes equation solutions · Advanced Mathematical Physics Problems · Computational Fluid Dynamics and Aerodynamics
