Ayog, J. and Kesserwani, G. (2018) Reformulation of 2D DG2 scheme for shallow water modelling. In: HIC 2018: 13th International Conference on Hydroinformatics. HIC 2018: 13th International Conference on Hydroinformatics, 01-06 Jul 2018, Palermo, Italy. EPiC Series in Engineering, 3 . EasyChair , pp. 131-122.
Abstract
This paper presents a reformulation of the 2D second-order discontinuous Galerkin scheme (2D DG2) which is more efficient and stable for realistic simulation of hydrodynamics. This modified scheme is formulated based on a local linear solution spanned by a set of local coefficients using a newly proposed cell stencil. The results show that the reformulated second-order discontinuous Galerkin scheme performs acceptably well in predicting shock propagation. The modified scheme is designed to be conservative not only for the average coefficients but also the slope coefficients, which is necessary to ensure robustness based on the well-balanced property under the lake at rest hypothesis. Our preliminary findings reveal a great potential from adopting the proposed 2D DG2 reformulation as a basis for real-world flood modelling applications.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. |
Keywords: | Discontinuous Galerkin; local cell stencil; reformulation; shallow water equations |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/R007349/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Mar 2019 15:38 |
Last Modified: | 08 Mar 2019 15:48 |
Published Version: | https://doi.org/10.29007/xlvx |
Status: | Published |
Publisher: | EasyChair |
Series Name: | EPiC Series in Engineering |
Refereed: | Yes |
Identification Number: | 10.29007/xlvx |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143458 |