Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries

dc.contributor.advisor
dc.contributor.areaMathematicsen_US
dc.contributor.authorIapichino, Laura
dc.contributor.authorQuarteroni, Alfio
dc.contributor.authorRozza, Gianluigi
dc.date.accessioned2015-11-09T14:58:00Z
dc.date.available2015-11-09T14:58:00Z
dc.date.issued2015
dc.description.abstractThe aim of this work is to solve parametrized partial differential equations in computational domains represented by networks of repetitive geometries by combining reduced basis and domain decomposition techniques. The main idea behind this approach is to compute once, locally and for few reference shapes, some representative finite element solutions for different values of the parameters and with a set of different suitable boundary conditions on the boundaries: these functions will represent the basis of a reduced space where the global solution is sought for. The continuity of the latter is assured by a classical domain decomposition approach. Test results on Poisson problem show the flexibility of the proposed method in which accuracy and computational time may be tuned by varying the number of reduced basis functions employed, or the set of boundary conditions used for defining locally the basis functions. The proposed approach simplifies the pre-computation of the reduced basis space by splitting the global problem into smaller local subproblems. Thanks to this feature, it allows dealing with arbitrarily complex network and features more flexibility than a classical global reduced basis approximation where the topology of the geometry is fixed.en_US
dc.identifier.urihttps://openscience.sissa.it/handle/1963/34964
dc.language.isoenen_US
dc.miur.area1en_US
dc.subjectreduced basis methodsen_US
dc.subjectinterfacesen_US
dc.subjectparametrized networksen_US
dc.subjectelliptic coercive operatorsen_US
dc.subjecteduced basis element methoden_US
dc.subject.miurMAT/08en_US
dc.titleReduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometriesen_US
dc.typePreprinten_US
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