Goal oriented a posteriori error estimators for problems with modified discrete formulations based on the dual weighted residual method

dc.contributor.authorKumor, Dustin
dc.contributor.authorRademacher, Andreas
dc.date.accessioned2019-02-26T08:06:24Z
dc.date.available2019-02-26T08:06:24Z
dc.date.issued2019-02
dc.description.abstractThe article at hand focuses on finite element discretizations, where the continuous and the discrete formulations differ. We introduce a general approach based on the dual weighted residual method for estimating on the one hand the discretization error in a user specified quantity of interest and on the other hand the discrete model error induced by using different discrete techniques. Here, the usual error identities are obtained plus some additional terms. Furthermore, the numerical approximation of the error identities is discussed. As a simple example, we consider selective reduced integration for stabilizing the finite element discretization of linear elastic problems with nearly incompressible material behavior. This example fits well in the general setting. However, one has to be very careful in the numerical approximation of the error identities, where different reconstruction techniques have to be used for the additional terms due to the deviating discrete bi-linear form. Numerical examples substantiate the accuracy of the a posteriori error estimators and the efficiency of the adaptive methods based on them.en
dc.identifier.issn2190-1767
dc.identifier.urihttp://hdl.handle.net/2003/37927
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19913
dc.language.isoen
dc.relation.ispartofseriesErgebnisberichte des Instituts für Angewandte Mathematik;596
dc.subjectstructural mechanicsen
dc.subjecta posteriori error estimationen
dc.subjectdual weighted residual methoden
dc.subjectadaptive finite element methoden
dc.subjectmodel adaptivityen
dc.subject.ddc610
dc.titleGoal oriented a posteriori error estimators for problems with modified discrete formulations based on the dual weighted residual methoden
dc.typeText
dc.type.publicationtypepreprint
dcterms.accessRightsopen access
eldorado.secondarypublicationfalse

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