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

Ohlberger M, Smetana K

Research article in edited proceedings (conference) | Peer reviewed

Abstract

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 about the publication

PublisherAubry D. et al.
Book titleProceedings of the V International Conference on Adaptive Modeling and Simulation (ADMOS 2011) held in Paris, France, 6-8 June 2011
Page range343-354
Publishing companyCIMNE
StatusPublished
Release year2011
Language in which the publication is writtenEnglish
ConferenceV International Conference on Adaptive Modeling and Simulation (ADMOS 2011), Paris, undefined
Keywordsmodel reduction

Authors from the University of Münster

Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Smetana, Kathrin
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)