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dc.contributor.authorKunc, Oliver-
dc.contributor.authorFritzen, Felix-
dc.date.accessioned2024-05-10T14:43:01Z-
dc.date.available2024-05-10T14:43:01Z-
dc.date.issued2020de
dc.identifier.issn1097-0207-
dc.identifier.issn0029-5981-
dc.identifier.other1888974419-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-143775de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/14377-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-14358-
dc.description.abstractA method for efficient computational homogenization of hyperelastic materials under finite strains is proposed. Multiple spatial scales are homogenized in a recursive procedure: starting on the smallest scale, few high fidelity FE computations are performed. The resulting fields of deformation gradient fluctuations are processed by a snapshot POD resulting in a reduced basis (RB) model. By means of the computationally efficient RB model, a large set of samples of the homogenized material response is created. This data set serves as the support for the Concentric Interpolation (CI) scheme, interpolating the effective stress and stiffness. Then, the same procedure is invoked on the next larger scale with this CI surrogating the homogenized material law. A three‐scale homogenization process is completed within few hours on a standard workstation. The resulting model is evaluated within minutes on a laptop computer in order to generate fourth‐scale results. Open source code is provided.en
dc.description.sponsorshipDeutsche Forschungsgemeinschaftde
dc.language.isoende
dc.relation.uridoi:10.1002/nme.6454de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc670de
dc.titleMany‐scale finite strain computational homogenization via Concentric Interpolationen
dc.typearticlede
dc.date.updated2023-11-14T04:27:13Z-
ubs.fakultaetBau- und Umweltingenieurwissenschaftende
ubs.institutInstitut für Mechanik (Bauwesen)de
ubs.publikation.seiten4689-4716de
ubs.publikation.sourceInternational journal for numerical methods in engineering 121 (2020), S. 4689-4716de
ubs.publikation.typZeitschriftenartikelde
Enthalten in den Sammlungen:02 Fakultät Bau- und Umweltingenieurwissenschaften

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