ZURUECK HOCH VOR INHALT SUCHEN

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Proposing Institution

Lehrstuhl für Numerische Mechanik ,TUM
Project Manager

Dr. Martin Kronbichler
Boltzmann Str. 15
85748 Garching
Abstract
The goal of this project is the simulation of complex fluid systems for engineering and biofluid applications. The underlying equations for fluid flow are the Navier-Stokes equations, which are relatively costly to solve compared to other fields. Our research mostly considers instatationary turbulent flows. Due to their complexity, that is, a wide range of length and time scales, among others, turbulent flows are particularly challenging from a computational point of view. The prime concept for our fluid simulations is the Large-Eddy Simulation (LES), which aims for numerically resolving the larger flow structures while modeling the effect of the more universal smaller flow structures. We recently developed novel turbulence modeling approaches for LES also taking into account the efficiency for the application to larger systems than the usual benchmark examples. Realistic applications additionally require the consideration of wall-bounded turbulent flow at very high Reynolds numbers, scalar mixing processes, and two-phase flows, among others. In addition to improvements of our LES models, the projects addressed by this proposal intend to provide solutions for these types of flows.The models and computational methods that we already have developed in this area are considered cutting edge research on an international scale. To further explore the potential of these models by providing new insights as well as to further develop them for more complex situations asks for large computational resources as provided by SuperMUC.The simulations will be performed using the research code developed in our group which is based on finite element methods. The code is parallelized with MPI and uses scalable algorithms of the Trilinos project, including parallel linear algebra, iterative solvers and state-of-the-art algebraic multigrid preconditioners.

Impressum, Conny Wendler