Error Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems

Ohlberger M, Schaefer M

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

In this work we are considered with parameter optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material design parameters. An efficient approximation is obtained by the reduced basis approach. A posteriori error estimates for the reduced forward problem are obtained in the periodic homogenization setting, using the so called two scale weak formulation of the multiscale problem. The resulting error indicators allow for an efficient offline/online decomposition and are used for an efficient reduced basis construction, both for the homogenization limit, as well as for the approximation of the corresponding cell problems.

Details zur Publikation

BuchtitelProceedings of the 1st IFAC Workshop on Control of Systems Governed by Partial Differential Equations
StatusVeröffentlicht
Veröffentlichungsjahr2013
Sprache, in der die Publikation verfasst istEnglisch
Konferenz1st IFAC Workshop on Control of Systems Governed by Partial Differential Equations, Paris, France, undefined
DOI10.3182/20130925-3-FR-4043.00053
Stichwörterparameter optimization; multiscale problem; reduced basis method; model reduction; a posteriori error estimate; two scale convergence

Autor*innen der Universität Münster

Ohlberger, Mario
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)
Center for Nonlinear Science (CeNoS)
Schaefer, Michael
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)