A multi‐level data‐driven finite element method in polymorphic uncertainty quantification
Abstract: This contribution explores the ability to conduct polymorphic uncertainty computations within the data‐driven finite element framework. The constitutive equation is replaced by data sets that determine the material behavior, and a fuzzy load is used for the polymorphic approach. To conduct many simulations with the discretized variables and to increase numerical efficiency, the numerical cost is reduced by a multi‐level method.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A multi‐level data‐driven finite element method in polymorphic uncertainty quantification ; volume:21 ; number:1 ; year:2021 ; extent:4
Proceedings in applied mathematics and mechanics ; 21, Heft 1 (2021) (gesamt 4)
- Urheber
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Korzeniowski, Tim Fabian
Weinberg, Kerstin
- DOI
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10.1002/pamm.202100189
- URN
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urn:nbn:de:101:1-2021121514235220755360
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Korzeniowski, Tim Fabian
- Weinberg, Kerstin
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