A new Hierarchical Model Reduction-Reduced Basis technique for advection-diffusion-reaction problems

Ohlberger M, Smetana K

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

We extend previous work on the Hierarchical Model Reduction-Reduced Basis (HMR-RB) approach to an advection-diffusion-reaction problem. In comparison to the Boussinesq approach we do not neglect the dependency on the vertical direction but enhance the solution for the horizontal direction with appropriately chosen basis functions living on the vertical one. This is done by a combination of the frameworks of hierarchical model reduction and the reduced basis methods. We derive a new a posteriori error estimate and demonstrate in numerical experiments that few basis functions suffice to get good approximations.

Details zur Publikation

Herausgeber*innenAubry D. et al.
BuchtitelProceedings of the V International Conference on Adaptive Modeling and Simulation (ADMOS 2011) held in Paris, France, 6-8 June 2011
Seitenbereich343-354
VerlagCIMNE
StatusVeröffentlicht
Veröffentlichungsjahr2011
Sprache, in der die Publikation verfasst istEnglisch
KonferenzV International Conference on Adaptive Modeling and Simulation (ADMOS 2011), Paris, undefined
Stichwörtermodel reduction

Autor*innen der Universität Münster

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