Computational multiscale methods for quasi-gas dynamic equations
Boris Chetverushkin, Eric Chung, Yalchin Efendiev, Sai-Mang Pun, and, Zecheng Zhang

TL;DR
This paper develops a multiscale numerical method combining CEM-GMsFEM and leapfrog time scheme to efficiently solve the quasi-gas-dynamic equations in heterogeneous media, with proven stability and convergence.
Contribution
It introduces a novel multiscale finite element approach for QGD models in multiscale media, addressing hyperbolic challenges and reducing computational costs.
Findings
The method is stable under a relaxed CFL condition.
Convergence of the scheme is theoretically established.
Numerical experiments confirm the effectiveness of the approach.
Abstract
In this paper, we consider the quasi-gas-dynamic (QGD) model in a multiscale environment. The model equations can be regarded as a hyperbolic regularization and are derived from kinetic equations. So far, the research on QGD models has been focused on problems with constant coefficients. In this paper, we investigate the QGD model in multiscale media, which can be used in porous media applications. This multiscale problem is interesting from a multiscale methodology point of view as the model problem has a hyperbolic multiscale term, and designing multiscale methods for hyperbolic equations is challenging. In the paper, we apply the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) combined with the leapfrog scheme in time to solve this problem. The CEM-GMsFEM provides a flexible and systematical framework to construct crucial multiscale basis…
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.
