Loughborough University
Browse

Effect of mesh quality on flux reconstruction in multi-dimensions

Download (6.15 MB)
journal contribution
posted on 2022-03-08, 08:50 authored by Will Trojak, Rob WatsonRob Watson, Ashley Scillitoe, Paul G Tucker
Theoretical methods are developed to understand the effect of non-uniform grids on Flux Reconstruction (FR) in multi-dimensions. A better theoretical understanding of the effect of wave angle and grid deformation is established. FR is shown to have a smaller variation in properties than some finite difference counterparts. Subsequent numerical experiments on the Taylor–Green Vortex with jittered elements show the effect of localised regions of expansion and contraction. The effect this had on Nodal DG-like schemes was to increase the dissipation, whereas for more typical FR schemes the effect was to increase the dispersion. Some comparison is made between second-order FR and a second-order finite volume (FV) scheme. FR is found to be more resilient to mesh deformation, however, FV is found to be more resolved when operated at second order on the same mesh.

Funding

Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics

Engineering and Physical Sciences Research Council

Find out more...

DiRAC funding from the Science and Technology Facilities Council (www.dirac.ac.uk)

Engineering and Physical Sciences Research Council Award Reference 1750012

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of Scientific Computing

Volume

82

Issue

3

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2019-12-30

Publication date

2020-03-12

Copyright date

2020

ISSN

0885-7474

eISSN

1573-7691

Language

  • en

Depositor

Dr Rob Watson. Deposit date: 7 March 2022

Article number

77

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC