Journal Articles Journal of Computational Physics Year : 2022

Projective and Telescopic Projective Integration for Non-Linear Kinetic Mixtures

Abstract

We propose fully explicit projective integration and telescopic projective integration schemes for the multispecies Boltzmann and Bhatnagar-Gross-Krook (BGK) equations. The methods employ a sequence of small forward-Euler steps, intercalated with large extrapolation steps. The telescopic approach repeats said extrapolations as the basis for an even larger step. This hierarchy renders the computational complexity of the method essentially independent of the stiffness of the problem, which permits the efficient solution of equations in the hyperbolic scaling with very small Knudsen numbers. We validate the schemes on a range of scenarios, demonstrating its prowess in dealing with extreme mass ratios, fluid instabilities, and other complex phenomena.
Fichier principal
Vignette du fichier
BailoRey_ProjectiveKineticMixtures.pdf (2.36 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03262587 , version 1 (16-06-2021)

Identifiers

Cite

Rafael Bailo, Thomas Rey. Projective and Telescopic Projective Integration for Non-Linear Kinetic Mixtures. Journal of Computational Physics, 2022, 458, pp.111082. ⟨10.1016/j.jcp.2022.111082⟩. ⟨hal-03262587⟩
67 View
68 Download

Altmetric

Share

More