Anisotropic goal-oriented mesh adaptation in firedrake
File(s)06-Wallwork.pdf (2.43 MB)
Published version
Author(s)
Wallwork, JG
Barral, N
Ham, DA
Piggott, MD
Type
Conference Paper
Abstract
We consider metric-based mesh adaptation methods for steady-state partial differential equations (PDEs), solved using the finite element method in Firedrake. In this work, a number of mesh-adaptive methods are implemented within this framework, each enabling accurate approximation of a scalar quantity of interest (QoI). Through the QoI we define adjoint equations, with which we may gain understanding of its sensitivities to aspects of the PDE solution. Dual weighted residual type error estimation techniques are utilised in order to enable a goal-oriented strategy. Isotropic and anisotropic approaches are considered, both of which are able to achieve the same relative error in approximating the QoI as with uniform refinement, but using fewer elements. For validation purposes, we compare QoI values resulting from these approaches against analytical values which may be extracted for a particular advection-diffiusion based test case. Potential applications in desalination plant outfall modelling are discussed.
Date Issued
2020-02-06
Date Acceptance
2019-10-01
Citation
Proceedings of the 28th International Meshing Roundtable, IMR 2019, 2020, pp.83-100
ISBN
9781733489003
Start Page
83
End Page
100
Journal / Book Title
Proceedings of the 28th International Meshing Roundtable, IMR 2019
Copyright Statement
©2019 held by the authors of the individual papers.
Distribution of the material in this volume is permitted under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
Distribution of the material in this volume is permitted under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://doi.org/10.5281/zenodo.3653101
Source
IMR28 2019
Publication Status
Published
Start Date
2019-10-14
Finish Date
2019-10-17
Coverage Spatial
Buffallo, NY, USA