Adaptive Least-Squares Finite Element Methods for Linear Transport Equations Based on an H(div) Flux Reformulation
Qunjie Liu, Shun Zhang

TL;DR
This paper introduces adaptive least-squares finite element methods for linear transport equations that effectively handle discontinuities and boundary conditions by reformulating the flux variable in an $H( ext{div})$ space, improving accuracy and error estimation.
Contribution
The paper proposes a novel flux reformulation in $H( ext{div})$ spaces for LSFEMs, enabling better handling of discontinuities and boundary conditions in linear transport equations.
Findings
New LSFEMs handle discontinuous solutions more effectively.
Adaptive methods identify error sources like singularities.
Almost no overshoot with $RT_0 imes P_0$ approximation on discontinuous solutions.
Abstract
In this paper, we study the least-squares finite element methods (LSFEM) for the linear hyperbolic transport equations. The linear transport equation naturally allows discontinuous solutions and discontinuous inflow conditions, while the normal component of the flux across the mesh faces needs to be continuous. Traditional LSFEMs using continuous finite element approximations will introduce unnecessary extra error for discontinuous solutions and boundary conditions. In order to separate the continuity requirements, a new flux variable is introduced. With this reformulation, the continuities of the flux and the solution can be handled separately in natural conforming finite element spaces. Several variants of the methods are developed to handle the inflow boundary condition strongly or weakly. With the reformulation, the new LSFEMs can handle…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Numerical methods in engineering
