Speaker
Description
The aim of the work is to apply the reduced basis method to a two dimensional time dependent convection dominated fluid-structure interaction (FSI) problem.
One basic assumption of the reduced basis method is that the solution manifold
can be well approximated by a sequence of finite dimensional spaces: this mathematical assumption translates in the fact that the Kolmogorov n-width
For convection dominated problems this is not always the case, meaning that
We will show how we tried to overcome this situation, explaining the idea presented in [3]: the main feature of this new reduced method is the presence of a preprocessing phase, which is performed right after the offline step. Assume that
After the POD on the preprocessed solution manifold we obtain a set of preprocessed reduced bases
In our poster we will show the results we obtained so far, and we will also discuss some of the difficulties we encountered during this work: the attention that is required in handling the coupling conditions between
the fluid equations and the structure equation, the search for a suitable family of deformation maps, and also the very important aspect of how to interpret the rate of decay of the Kolmogorov
[1] Ballarin F. and Rozza G., POD-Galerking monolithic reduced order models for parametrized fluid-structure interaction problems. IJNMF: 82(12):1010--1034, 2016.
[2] Ballarin F., Rozza G. and Maday Y., Reduced-order semi-implicit schemes for fluid-structure interaction problems. MSA vol.17: 149-167, Springer International Publishing, 2017.
[3] Cagniart N., Maday Y. and Stamm B., Model order reduction for problems with large convection effects, 2016.