Inviscid Flow on Moving Grids with Multiscale Space and Time Adaptivity
Philipp Lamby (),
Ralf Massjung (),
Siegfried Müller () and
Youssef Stiriba ()
Additional contact information
Philipp Lamby: RWTH Aachen, Institut für Geometrie und Praktische Mathematik
Ralf Massjung: RWTH Aachen, Institut für Geometrie und Praktische Mathematik
Siegfried Müller: RWTH Aachen, Institut für Geometrie und Praktische Mathematik
Youssef Stiriba: Departament Enginyeria Mecànica, Universitat “Rovira i Virgili” - ETSEQ
A chapter in Numerical Mathematics and Advanced Applications, 2006, pp 831-839 from Springer
Abstract:
Abstract A fully adaptive multiscale finite volume scheme for solving the 2D compressible Euler equations on moving grids is presented. The scheme uses a multiscale analysis based on biorthogonal wavelets to adapt the grid in space. Refinement in time is performed using a locally varying time stepping strategy that has been recently developed. The CFL condition is satisfied locally and the number of grid adaptations is reduced. The performance of the scheme using global and local multilevel time stepping, respectively, is investigated by a flow past an oscillating boundary.
Keywords: Time Step Size; Arbitrary Lagrangian Eulerian; Volume Scheme; Inviscid Flow; Biorthogonal Wavelet (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-34288-5_82
Ordering information: This item can be ordered from
http://www.springer.com/9783540342885
DOI: 10.1007/978-3-540-34288-5_82
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().