Robust globally divergence-free weak Galerkin methods for unsteady incompressible convective Brinkman-Forchheimer equations
Xiaojuan Wang, Jihong Xiao, Xiaoping Xie, Shiquan Zhang

TL;DR
This paper introduces and analyzes a class of weak Galerkin finite element methods for unsteady incompressible convective Brinkman-Forchheimer equations, achieving divergence-free velocity approximation and optimal error estimates.
Contribution
The paper develops a novel weak Galerkin approach with divergence-free velocity approximation and provides rigorous error analysis and an efficient iterative solver.
Findings
Methods achieve globally divergence-free velocity fields.
Optimal error estimates are established in energy and L2 norms.
Numerical experiments confirm theoretical convergence and accuracy.
Abstract
This paper develops and analyzes a class of semi-discrete and fully discrete weak Galerkin finite element methods for unsteady incompressible convective Brinkman-Forchheimer equations. For the spatial discretization, the methods adopt the piecewise polynomials of degrees and respectively to approximate the velocity and pressure inside the elements, and piecewise polynomials of degree to approximate their numerical traces on the interfaces of elements. In the fully discrete method, the backward Euler difference scheme is used to approximate the time derivative. The methods are shown to yield globally divergence-free velocity approximation. Optimal a priori error estimates in the energy norm and norm are established. A convergent linearized iterative algorithm is designed for solving the fully discrete system. Numerical experiments are provided to verify the…
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
TopicsModel Reduction and Neural Networks · Numerical methods in inverse problems · Numerical methods in engineering
