Title: Using Krylov-Pade Model Order Reduction for Accelerating Design Optimization of Structures and Vibrations in the Frequency Domain
Authors: Yue, Yao ×
Meerbergen, Karl #
Issue Date: Jun-2012
Publisher: Wiley
Series Title: International Journal for Numerical Methods in Engineering vol:90 issue:10 pages:1207-1232
Abstract: In many engineering problems, the behavior of dynamical systems depends on physical parameters. In design optimization, these parameters are determined so that an objective function is minimized. For applications in
vibrations and structures, the objective function depends on the frequency response function over a given frequency
range and we optimize it in the parameter space. Due to the large size of the system, numerical optimization is expensive. In this paper, we propose the combination of Quasi-Newton type line search optimization methods
and Krylov-Padé type algebraic model order reduction techniques to speed up numerical optimization of dynamical
systems. We prove that Krylov-Padé type model order reduction allows for fast evaluation of the objective function and its gradient, thanks to the moment matching property for both the objective function and the derivatives towards the parameters. We show that reduced models for the frequency alone lead to signicant speed ups. In addition, we show that reduced models valid for both the frequency range and a line in the parameter space can further reduce the optimization time.
ISSN: 0029-5981
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Numerical Analysis and Applied Mathematics Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
morop-joined.pdfTechnical Report Accepted 2009KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science