Goal-oriented error estimation and mesh adaptation for tracer transport modelling
OA Location
Author(s)
Wallwork, Joseph G
Barral, Nicolas
Ham, David A
Piggott, Matthew D
Type
Journal Article
Abstract
This paper applies metric-based mesh adaptation methods to advection-dominated tracer transport modelling problems in two and three dimensions, using the finite element package Firedrake. In particular, the mesh adaptation methods considered are built upon goal-oriented estimates for the error incurred in evaluating a diagnostic quantity of interest (QoI). In the motivating example of modelling to support desalination plant outfall design, such a QoI could be the salinity at the plant inlet, which could be negatively impacted by the transport of brine from the plant’s outfall. Four approaches are considered, one of which yields isotropic meshes. The focus on advection-dominated problems means that flows are often anisotropic; thus, three anisotropic approaches are also considered. Meshes resulting from each of the four approaches yield solutions to the tracer transport problem which give better approximations to QoI values than uniform meshing, for a given mesh size. The methodology is validated using an existing 2D tracer transport test case with a known analytical solution. Goal-oriented meshes for an idealised time-dependent desalination outfall scenario are also presented.
Date Issued
2022-04
Date Acceptance
2021-12-14
Citation
Computer-Aided Design, 2022, 145, pp.1-21
ISSN
0010-4485
Publisher
Elsevier BV
Start Page
1
End Page
21
Journal / Book Title
Computer-Aided Design
Volume
145
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering and Physical Sciences Research Council
Identifier
https://www.sciencedirect.com/science/article/pii/S0010448521001846?via%3Dihub
Grant Number
EP/R029423/1
EP/L016613/1
Subjects
0913 Mechanical Engineering
1203 Design Practice and Management
Design Practice & Management
Publication Status
Published
Article Number
103187
Date Publish Online
2021-12-24