Artikel in Zeitschrift ART-2016-11

Bibliograph.
Daten
Haeltermann, 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.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 9-17, englisch.
Elsevier, Mai 2016.
ISSN: 0045-7949; DOI: http://dx.doi.org/10.1016/j.compstruc.2016.04.001.
Artikel in Zeitschrift.
CR-Klassif.G.1.3 (Numerical Linear Algebra)
G.1.8 (Partial Differential Equations)
KeywordsFluid–structure interaction; Quasi-Newton method; Least squares; Filtering
Kurzfassung

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.

Volltext und
andere Links
URL Science Direct
Kontaktmiriam.mehl@ipvs.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Simulation großer Systeme
Projekt(e)ExaFSA
Eingabedatum19. September 2016
   Publ. Institut   Publ. Informatik