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

doi:10.1016/j.compstruc.2016.04.001

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

Hyperspectral Unit

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	9-17
Number of pages	9
Journal	Computers and Structures
Volume	171
DOIs	https://doi.org/10.1016/j.compstruc.2016.04.001
Publication status	Published - 15 Jul 2016

Keywords

Filtering
Fluid-structure interaction
Least squares
Quasi-Newton method

Access to Document

10.1016/j.compstruc.2016.04.001

Cite this

@article{b3829a54524a4603b4df3e877a96db15,

title = "Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: 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.",

keywords = "Filtering, Fluid-structure interaction, Least squares, Quasi-Newton method",

author = "Rob Haelterman and Bogaers, \{A. E.J.\} and K. Scheufele and B. Uekermann and M. Mehl",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd.",

year = "2016",

month = jul,

day = "15",

doi = "10.1016/j.compstruc.2016.04.001",

language = "English",

volume = "171",

pages = "9--17",

journal = "Computers and Structures",

issn = "0045-7949",

}

TY - JOUR

T1 - Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems

T2 - Filtering

AU - Haelterman, Rob

AU - Bogaers, A. E.J.

AU - Scheufele, K.

AU - Uekermann, B.

AU - Mehl, M.

PY - 2016/7/15

Y1 - 2016/7/15

N2 - 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.

AB - 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.

KW - Filtering

KW - Fluid-structure interaction

KW - Least squares

KW - Quasi-Newton method

UR - https://www.scopus.com/pages/publications/84969513677

U2 - 10.1016/j.compstruc.2016.04.001

DO - 10.1016/j.compstruc.2016.04.001

M3 - Article

AN - SCOPUS:84969513677

SN - 0045-7949

VL - 171

SP - 9

EP - 17

JO - Computers and Structures

JF - Computers and Structures

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this