2017
DOI: 10.1002/fld.4390
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An agglomeration‐based adaptive discontinuous Galerkin method for compressible flows

Abstract: Summary In this work, we exploit the possibility to devise discontinuous Galerkin discretizations over polytopic grids to perform grid adaptation strategies on the basis of agglomeration coarsening of a fine grid obtained via standard unstructured mesh generators. The adaptive agglomeration process is here driven by an adjoint‐based error estimator. We investigate several strategies for converting the error field estimated solving the adjoint problem into an agglomeration factor field that is an indication of … Show more

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Cited by 5 publications
(1 citation statement)
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References 33 publications
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“…However, while (isotropic and anisotropic) error estimates and a posteriori error estimates and adaptive finite element methods (AFEMs) have been intensively investigated during the last decades (see, e.g., for the isotropic case the monographs [32,31] and the references therein and for the anisotropic case [4,21,22,23,24,25,26] and the references therein), the corresponding study of a posteriori error estimates and adaptivity for polytopal methods is still in its infancy. See, for example, [5,8,2] for the study of a posteriori error estimates in the context of Mimetic Finite Differences, [9,13,15,29,10,19,16] for the Virtual Element Method, [34,35,38,37] for polygonal BEMbased FEM, [39] for the polygonal Discontinuous Galerkin method, [20] for the Mixed High Order method, [30] for the Weak Galerkin method and [33] for lowest-order locally conservative methods on polytopal meshes. Moreover, despite the great flexibility provided by polytopal meshes, the above works focused on the isotropic case, only.…”
Section: Introduction and Notationmentioning
confidence: 99%
“…However, while (isotropic and anisotropic) error estimates and a posteriori error estimates and adaptive finite element methods (AFEMs) have been intensively investigated during the last decades (see, e.g., for the isotropic case the monographs [32,31] and the references therein and for the anisotropic case [4,21,22,23,24,25,26] and the references therein), the corresponding study of a posteriori error estimates and adaptivity for polytopal methods is still in its infancy. See, for example, [5,8,2] for the study of a posteriori error estimates in the context of Mimetic Finite Differences, [9,13,15,29,10,19,16] for the Virtual Element Method, [34,35,38,37] for polygonal BEMbased FEM, [39] for the polygonal Discontinuous Galerkin method, [20] for the Mixed High Order method, [30] for the Weak Galerkin method and [33] for lowest-order locally conservative methods on polytopal meshes. Moreover, despite the great flexibility provided by polytopal meshes, the above works focused on the isotropic case, only.…”
Section: Introduction and Notationmentioning
confidence: 99%