Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques

To enable multi-query analyses, such as optimisations of large-scale crashworthiness problems, a numerically efficient model is crucial for the development process. Therefore, data-driven Model Order Reduction (MOR) aims at generating low-fidelity models that approximate the solution while strongly...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 65; H. 7
Hauptverfasser:	Czech, Catharina, Lesjak, Mathias, Bach, Christopher, Duddeck, Fabian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022 Springer Nature B.V
Schlagworte:	Algorithms Computational Mathematics and Numerical Analysis Crashworthiness Decomposition Engineering Engineering Design Impact strength Machine learning Methods Model reduction Optimization Partial differential equations Research Paper Singular value decomposition Theoretical and Applied Mechanics Transient analysis Intrusive reduced order modelling Reduced order model Optimisation Crashworthiness Nonlinear model order reduction Non-intrusive modelling
ISSN:	1615-147X, 1615-1488
Online-Zugang:	Volltext
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