Article in Journal ART-2016-11

BibliographyHaeltermann, R.; Bogaers, A.E.J.; Scheufele, K; Uekermann, B.; Mehl, M.: Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering.
In: Computers & Structures. Vol. 171.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 9-17, english.
Elsevier, May 2016.
ISSN: 0045-7949; DOI: http://dx.doi.org/10.1016/j.compstruc.2016.04.001.
Article in Journal.
CR-SchemaG.1.3 (Numerical Linear Algebra)
G.1.8 (Partial Differential Equations)
KeywordsFluid–structure interaction; Quasi-Newton method; Least squares; Filtering
Abstract

The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, filtering has been used. In this paper we show that a relatively minor modification to the filtering technique can substantially reduce the required number of iterations.

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URL Science Direct
Contactmiriam.mehl@ipvs.uni-stuttgart.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
Project(s)ExaFSA
Entry dateSeptember 19, 2016
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