Automatic Adaptive Sampling in Parametric Model Order Reduction by Matrix Interpolation

Maria Cruz Varona, Mashuq-Un-Nabi, Boris Lohmann

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

In modeling and simulation of large-scale systems, Model Order Reduction (MOR), and specifically parametric MOR (pMOR), has grown in importance recently. In this paper, a concept based on distance between subspaces has been automated and combined with the efficient parametric reduction approach Matrix Interpolation to give an automatic adaptive sampling strategy in pMOR. An algorithm is developed and its efficacy established with the help of numerical results for a parametric Timoshenko beam model.

OriginalspracheEnglisch
Titel2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten472-477
Seitenumfang6
ISBN (elektronisch)9781509059980
DOIs
PublikationsstatusVeröffentlicht - 21 Aug. 2017
Veranstaltung2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Deutschland
Dauer: 3 Juli 20177 Juli 2017

Publikationsreihe

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Konferenz

Konferenz2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Land/GebietDeutschland
OrtMunich
Zeitraum3/07/177/07/17

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