Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Natural Sciences
  3. Faculty of Natural Sciences
  4. Finite volume approximations of the Euler system with variable congestion
 
  • Details
Finite volume approximations of the Euler system with variable congestion
File(s)
1-s2.0-S0045793017303341-main.pdf (4.98 MB)
Published version
Author(s)
Degond, PAA
Minakowski, P
Navoret, L
Zatorska, E
Type
Journal Article
Abstract
We are interested in the numerical simulations of the Euler system with variable congestion encoded by a singular pressure (Degond et al., 2016). This model describes for instance the macroscopic motion of a crowd with individual congestion preferences. We propose an asymptotic preserving (AP) scheme based on a conservative formulation of the system in terms of density, momentum and density fraction. A second order accuracy version of the scheme is also presented. We validate the scheme on one-dimensionnal test-cases and compare it with a scheme previously proposed in Degond et al. (2016) and extended here to higher order accuracy. We finally carry out two dimensional numerical simulations and show that the model exhibit typical crowd dynamics.
Date Issued
2018-06-01
Date Acceptance
2017-09-12
Citation
Computers and Fluids, 2018, 169, pp.23-39
URI
http://hdl.handle.net/10044/1/50768
DOI
https://www.dx.doi.org/10.1016/j.compfluid.2017.09.007
ISSN
0045-7930
Publisher
Elsevier
Start Page
23
End Page
39
Journal / Book Title
Computers and Fluids
Volume
169
Copyright Statement
© 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
License URL
http://creativecommons.org/licenses/by/4.0/
Sponsor
The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Grant Number
WM130048
EP/M006883/1
Subjects
math.NA
0102 Applied Mathematics
0915 Interdisciplinary Engineering
0913 Mechanical Engineering
Applied Mathematics
Publication Status
Published
Date Publish Online
2017-09-14
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback