Dr Stefano Giani stefano.giani@durham.ac.uk
Associate Professor
An adaptive composite discontinuous Galerkin method for elliptic problems on complicated domains with discontinuous coefficients
Giani, S.
Authors
Abstract
In this paper, we introduce the multi-region discontinuous Galerkin composite finite element method (MRDGCFEM) with hp-adaptivity for the discretization of second-order elliptic partial differential equations with discontinuous coefficients. This method allows for the approximation of problems posed on computational domains where the jumps in the diffusion coefficient form a micro-structure. Standard numerical methods could be used for such problems but the computational effort may be extremely high. Small enough elements to represent the underlying pattern in the diffusion coefficient have to be used. In contrast, the dimension of the underlying MRDGCFE space is independent of the complexity of the diffusion coefficient pattern. The key idea is that the jumps in the diffusion coefficient are no longer resolved by the mesh where the problem is solved; instead, the finite element basis (or shape) functions are adapted to the diffusion pattern allowing for much coarser meshes. In this paper, we employ hp-adaptivity on a series of test cases highlighting the practical application of the proposed numerical scheme.
Citation
Giani, S. (2020). An adaptive composite discontinuous Galerkin method for elliptic problems on complicated domains with discontinuous coefficients. Advances in Computational Mathematics, 46(1), Article 13. https://doi.org/10.1007/s10444-020-09759-1
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 10, 2020 |
Publication Date | Feb 29, 2020 |
Deposit Date | Oct 11, 2019 |
Publicly Available Date | Feb 21, 2021 |
Journal | Advances in Computational Mathematics |
Print ISSN | 1019-7168 |
Electronic ISSN | 1572-9044 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 46 |
Issue | 1 |
Article Number | 13 |
DOI | https://doi.org/10.1007/s10444-020-09759-1 |
Public URL | https://durham-repository.worktribe.com/output/1282955 |
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Copyright Statement
This is a post-peer-review, pre-copyedit version of an article published in Advances in computational mathematics. The final authenticated version is available online at: https://doi.org/10.1007/s10444-020-09759-1
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