Efficient solvers for incompressible fluid flows in geosciences

Amirbekyan, A. and Gross, L. (2008). Efficient solvers for incompressible fluid flows in geosciences. In: C. E. M. Pearce, Proceedings of CTAC'08 - The 14th Biennial Computational Techniques and Applications Conference. CTAC'08 - The 14th Biennial Computational Techniques and Applications Conference, Australian National University, Canberra, Australia, (C189-C203). 13-16 July 2008.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
ArtakCTAC08.pdf ArtakCTAC08.pdf application/pdf 389.38KB 30

Author Amirbekyan, A.
Gross, L.
Title of paper Efficient solvers for incompressible fluid flows in geosciences
Conference Paper Type Fully Published Paper
Conference name CTAC'08 - The 14th Biennial Computational Techniques and Applications Conference    (ERA 2010 Rank C)
Conference location Australian National University, Canberra, Australia
Conference dates 13-16 July 2008
Proceedings title Proceedings of CTAC'08 - The 14th Biennial Computational Techniques and Applications Conference  (ERA 2012 Listed)    (ERA 2010 Rank B)   Check publisher's open access policy
Editor C. E. M. Pearce
Place published Cambridge, U.K.
Publisher Cambridge University Press
Publication date 2008
Volume number 50
ISSN 1446-8735; 1446-1811
Start page C189
End page C203
Total pages 15
Language eng
Abstract/Summary Saddle point problems involving large systems of linear equations arise in a wide variety of applications in computational science and engineering. A variety of solvers have been developed for these type of problems typically with specific applications in mind. In this paper we will focus on saddle point problems as they arise from incompressible fluid flow problems in applications in geosciences. They are characterized through a spatially variable viscosity when modeling temperature dependencies (e.g. in Earth mantel convection models) or moving material interfaces (e.g. in subduction zones simulation and numerical volcano models). In this paper we will give an overview on some of the iterative techniques that can be used and discuss suitable preconditioning techniques. We will discuss the implementation of the schemes using the python module Escript and compare the efficiency of these schemes when applied to convection models on a parallel computer.
Subjects 010399 Numerical and Computational Mathematics not elsewhere classified
Keyword Saddle point problems
Preconditioning techniques
Python module
Escript
Geoscience
Q-Index Code E1

Document type: Conference Paper
Sub-type: Fully Published Paper
Collections: Excellence in Research Australia (ERA) - Collection
Earth Systems Science Computational Centre Publications
 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Access Statistics: 70 Abstract Views, 30 File Downloads  -  Detailed Statistics
Created: Mon, 18 Aug 2008, 13:43:02 EST by Dr Artak Amirbekyan on behalf of Earth Systems Science Computational Centre