Convergence of the CEM-GMsFEM for compressible flow in highly heterogeneous media
Leonardo A. Poveda, Shubin Fu, Eric T. Chung, Lina Zhao

TL;DR
This paper introduces a new multiscale finite element method for efficiently solving complex nonlinear compressible flow problems in highly heterogeneous media, with proven convergence and adaptive enrichment strategies.
Contribution
The paper develops a CEM-GMsFEM approach with exponential decay basis functions, providing convergence analysis independent of heterogeneity and an online enrichment for improved accuracy.
Findings
Convergence depends only on coarse grid size, not heterogeneity.
Numerical experiments confirm theoretical convergence and efficiency.
The method achieves accurate solutions with reduced computational cost.
Abstract
This paper presents and analyses a Constraint Energy Minimization Generalized Multiscale Finite Element Method (CEM-GMsFEM) for solving single-phase non-linear compressible flows in highly heterogeneous media. The construction of CEM-GMsFEM hinges on two crucial steps: First, the auxiliary space is constructed by solving local spectral problems, where the basis functions corresponding to small eigenvalues are captured. Then the basis functions are obtained by solving local energy minimization problems over the oversampling domains using the auxiliary space. The basis functions have exponential decay outside the corresponding local oversampling regions. The convergence of the proposed method is provided, and we show that this convergence only depends on the coarse grid size and is independent of the heterogeneities. An online enrichment guided by \emph{a posteriori} error estimator 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
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics · Advanced Numerical Methods in Computational Mathematics
