Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: Filtering

Rob Haelterman, A. E.J. Bogaers, K. Scheufele, B. Uekermann, M. Mehl

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)9-17
Number of pages9
JournalComputers and Structures
Volume171
DOIs
Publication statusPublished - 15 Jul 2016

Keywords

  • Filtering
  • Fluid-structure interaction
  • Least squares
  • Quasi-Newton method

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