Performance Analysis of Parallel Algebraic Preconditioners for Solving the RANS Equations Using Fluctuation Splitting Schemes

A. Bonfiglioli (), B. Carpentieri () and M. Sosonkina ()
Additional contact information
A. Bonfiglioli: University of Basilicata, Dip.to di Ingegneria e Fisica dell’Ambiente
B. Carpentieri: Karl-Franzens University, Institute of Mathematics and Scientific Computing
M. Sosonkina: Iowa State University, Ames Laboratory/DOE

A chapter in Numerical Mathematics and Advanced Applications, 2008, pp 151-158 from Springer

Abstract: Abstract We consider iterative solution strategies for solving the Reynolds-Favre averaged Navier-Stokes (RANS) equations on 2D and 3D flow configurations. The novelty of this study is the coupling of an hybrid class of methods for the space discretization, called Fluctuation Splitting (or residual distribution) schemes, and a fully coupled Newton algorithm for solving the RANS equations. This approach is particularly attractive for parallel computations because it gives rise to discretization matrices with a compact stencil resulting in a limited number of nonzero entries. In this paper, we present the solution approach and report on results of numerical experiments with particular emphasis on the design of preconditioners for the inner linear system, which is a critical computational issue of the iterative solution.

Keywords: Residual Distribution; Hybrid Class; RANS Equation; Incomplete Factorization; Additive Schwarz Method (search for similar items in EconPapers)
Date: 2008
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:978-3-540-69777-0_17

Ordering information: This item can be ordered from
http://www.springer.com/9783540697770

DOI: 10.1007/978-3-540-69777-0_17

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 ().