Aspects of accuracy and uniqueness of solutions in data-driven mechanics

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dc.contributor.authorBartel, Thorsten
dc.contributor.authorHarnisch, Marius
dc.contributor.authorMenzel, Andreas
dc.contributor.authorSchweizer, Ben
dc.date.accessioned2023-10-18T13:55:58Z
dc.date.available2023-10-18T13:55:58Z
dc.date.issued2023-03-24
dc.description.abstractData-driven methods provide great potential for future applications in engineering, for example in terms of more efficient simulations. Conventional material models and the associated constitutive equations are substituted by a minimization of a distance between so-called material and mechanical states, which, however, leads to non-unique solutions. The aim of this paper is to analyze the influence of the chosen initial values on the accuracy of the obtained results. Furthermore, Mixed Integer Quadratic Programming (MIQP) is implemented and its applicability to data-driven mechanics is assessed.en
dc.identifier.urihttp://hdl.handle.net/2003/42161
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-23994
dc.language.isoende
dc.relation.ispartofseriesProceedings in applied mathematics and mechanics;22(1)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/de
dc.subject.ddc620
dc.subject.ddc670
dc.subject.rswkMechanikde
dc.subject.rswkModellierungde
dc.subject.rswkSimulationde
dc.subject.rswkElastizitätde
dc.subject.rswkBildkorrelationde
dc.titleAspects of accuracy and uniqueness of solutions in data-driven mechanicsen
dc.typeTextde
dc.type.publicationtypeArticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationBartel, T., Harnisch, M., Menzel, A. and Schweizer, B. (2023), Aspects of accuracy and uniqueness of solutions in data-driven mechanics. Proc. Appl. Math. Mech., 22: e202200206. https://doi.org/10.1002/pamm.202200206de
eldorado.secondarypublication.primaryidentifierDOI: https://doi.org/10.1002/pamm.202200206de

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