Dr Stefano Giani stefano.giani@durham.ac.uk
Associate Professor
In this article we consider the construction of general isotropic and anisotropic adaptive mesh refinement strategies, as well as hp–mesh refinement techniques, for the numerical approximation of the compressible Euler and Navier–Stokes equations. To discretize the latter system of conservation laws, we exploit the (adjoint consistent) symmetric version of the interior penalty discontinuous Galerkin finite element method. The a posteriori error indicators are derived based on employing the dual-weighted-residual approach in order to control the error measured in terms of general target functionals of the solution; these error estimates involve the product of the finite element residuals with local weighting terms involving the solution of a certain adjoint problem that must be numerically approximated. This general approach leads to the design of economical finite element meshes specifically tailored to the computation of the target functional of interest, as well as providing efficient error estimation. Numerical experiments demonstrating the performance of the proposed adaptive algorithms will be presented.
Giani, S., & Houston, P. (2012). Anisotropic hp-adaptive discontinuous Galerkin finite element methods for compressible fluid flows. International journal of numerical analysis and modeling, 9(4), 928-949
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2012 |
Deposit Date | Feb 12, 2013 |
Journal | International journal of numerical analysis and modeling |
Print ISSN | 1705-5105 |
Electronic ISSN | 2617-8710 |
Publisher | Institute for Scientific Computing and Information |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 4 |
Pages | 928-949 |
Public URL | https://durham-repository.worktribe.com/output/1489356 |
Publisher URL | http://www.math.ualberta.ca/ijnam/Volume9.htm |
Enhancing lecture capture with deep learning
(2024)
Journal Article
UKACM Proceedings 2024
(2024)
Presentation / Conference Contribution
Modelling Fracture Behaviour in Fibre-Hybrid 3D Woven Composites
(2024)
Presentation / Conference Contribution
Immersed traction boundary conditions in phase field fracture modelling
(2024)
Presentation / Conference Contribution
Recursive autoencoder network for prediction of CAD model parameters from STEP files
(2024)
Presentation / Conference Contribution
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search