Shop : Details
Shop
Details
49,80 €ISBN 978-3-8440-7297-6Softcover282 pages111 figures420 g21 x 14,8 cmEnglishThesis
April 2020
Christopher Bach
Data-driven model order reduction for nonlinear crash and impact simulations
Automotive crash and impact simulations require a large amount of computational resources, which is a challenge for optimization and robustness assessments. Thus, this work presents data-driven model order reduction and hyper-reduction techniques for faster evaluation of such problems. Efficient subspace approximation and element sampling methods are proposed. The numerical stability of the reduced models under explicit time integration is analyzed mathematically and experimentally. Finally, the achievable online stage accuracy and speed-ups are studied for different test cases.
Keywords: Nonlinear model order reduction; explicit dynamics; Data-driven model
Schriftenreihe des Fachgebiets für Computational Mechanics
Edited by Prof. Dr.-Ing. Fabian Duddeck, München
Volume 11
Export of bibliographic data
Shaker Verlag GmbH
Am Langen Graben 15a
52353 Düren
Germany
Am Langen Graben 15a
52353 Düren
Germany
Mon. - Thurs. 8:00 a.m. to 4:00 p.m.
Fri. 8:00 a.m. to 3:00 p.m.
Fri. 8:00 a.m. to 3:00 p.m.
Contact us. We will be happy to help you.
