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

Benutzer: Gast

Titel:: Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Czech, Catharina ; Lesjak, Mathias ; Bach, Christopher ; Duddeck, Fabian
Stichworte:: Research Paper ; Reduced order model ; Crashworthiness ; Optimisation ; Nonlinear model order reduction ; Intrusive reduced order modelling ; Non-intrusive modelling ; Information and Computing Sciences ; Mathematical Sciences
Zeitschriftentitel:: Structural and Multidisciplinary Optimization
Jahr:: 2022
Band / Volume:: 65
Heft / Issue:: 7
Volltext / DOI:: doi:10.1007/s00158-022-03282-1
Verlag / Institution:: Springer Berlin Heidelberg
E-ISSN:: 1615-147X ; 1615-1488
Publikationsdatum:: 28.06.2022
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