EconPapers    
Economics at your fingertips  
 

Implicit FEM-FCT algorithm for compressible flows

Matthias Möller (), Dmitri Kuzmin and Stefan Turek
Additional contact information
Matthias Möller: University of Dortmund, Institute of Applied Mathematics (LSIII)
Dmitri Kuzmin: University of Dortmund, Institute of Applied Mathematics (LSIII)
Stefan Turek: University of Dortmund, Institute of Applied Mathematics (LSIII)

A chapter in Numerical Mathematics and Advanced Applications, 2004, pp 641-650 from Springer

Abstract: Summary The flux-corrected transport (FCT) methodology is generalized to implicit finite element schemes and applied to the Euler equations of gas dynamics. The underlying low-order scheme is constructed by applying scalar artificial viscosity proportional to the spectral radius of the cumulative Roe matrix. All conservative matrix manipulations are performed edge-by-edge which leads to an efficient algorithm for the matrix assembly. The outer defect correction loop is equipped with a block-diagonal preconditioner so as to decouple the discretized Euler equations and solve all equations individually. As an alternative, a strongly coupled solution strategy is investigated in the context of stationary problems which call for large time steps.

Keywords: Euler Equation; Compressible Flow; Large Time Step; Artificial Viscosity; Finite Element Scheme (search for similar items in EconPapers)
Date: 2004
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:978-3-642-18775-9_62

Ordering information: This item can be ordered from
http://www.springer.com/9783642187759

DOI: 10.1007/978-3-642-18775-9_62

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 ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-642-18775-9_62