2016
DOI: 10.1090/mcom/3126
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Arbitrary Lagrangian-Eulerian discontinuous Galerkin method for conservation laws: Analysis and application in one dimension

Abstract: In this paper, we develop and analyze an arbitrary Lagrangian-Eulerian discontinuous Galerkin (ALE-DG) method with a time-dependent approximation space for one dimensional conservation laws, which satisfies the geometric conservation law. For the semi-discrete ALE-DG method, when applied to nonlinear scalar conservation laws, a cell entropy inequality, L 2 stability and error estimates are proven. More precisely, we prove the sub-optimal (k + 1 2 ) convergence for monotone fluxes and optimal (k + 1) convergenc… Show more

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Cited by 42 publications
(24 citation statements)
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“…A two-step moving mesh DG scheme was presented in [42], where the well-balanced DG methods with hydrostatic reconstruction on static grids and a remapping were coupled. We will choose the arbitrary Lagrangian-Eulerian discontinuous Galerkin (ALE-DG) method developed by Klingenberg et al [19,23] in this paper, which maintains mathematical properties of the DG methods on static grids, such as conservation, geometric conservation law (GCL), entropy stability and high order accuracy. Thereinto, the GCL property of the grid deformation method is essential for the development of well-balanced grid deformation schemes for the shallow water equations.…”
Section: Introductionmentioning
confidence: 99%
“…A two-step moving mesh DG scheme was presented in [42], where the well-balanced DG methods with hydrostatic reconstruction on static grids and a remapping were coupled. We will choose the arbitrary Lagrangian-Eulerian discontinuous Galerkin (ALE-DG) method developed by Klingenberg et al [19,23] in this paper, which maintains mathematical properties of the DG methods on static grids, such as conservation, geometric conservation law (GCL), entropy stability and high order accuracy. Thereinto, the GCL property of the grid deformation method is essential for the development of well-balanced grid deformation schemes for the shallow water equations.…”
Section: Introductionmentioning
confidence: 99%
“…The computational domain is [0, 1] and the final time is T = 0.15. The density using 100 cells is shown in figure (22) with static and moving meshes. The mesh motion does not significantly improve the solution compared to the static mesh case since the solution is smooth.…”
Section: Problemmentioning
confidence: 99%
“…Ciarlet [4]). In particular, a one dimensional proof is given in [14] and in [15] two dimensional error analysis for a semi-discrete ALE-DG method to solve the Hamilton-Jacobi equations is given. In addition, error analysis for the fully-discrete ALE-DG methods is given in [43].…”
Section: The Numerical Flux Functionmentioning
confidence: 99%