We are currently looking for a master’s student for a master’s thesis on flow instabilities and flow control in Francis turbines of hydropower plants.
We are happy to announce the granting of our DFG Project Proposal:
BOOST: Consistent and Robust Linearized Mean-Field-Methods using Physics Informed Neural Networks.
As a PhD student from Central South University, he will be working with us on train aerodynamics in a joint research project together with Oliver T. Schmidt from the University of California.
This year the Best Paper Awards were handed over again at the ASME Turbo Expo:
Congratulations Thomas (2019) and Jakob (2020)!
Here you find our two Presentations from Moritz and Thomas at the Turbo Expo 2022 in Rotterdam.
Yannick Schubert, Moritz Sieber, Kilian Oberleithner and Robert Martinuzzi published a new article in Theoretical and Computational Fluid Dynamics.
The central goal of this DFG-funded project is to develop a physical low-dimensional model for the dynamics of turbulent separation bubbles. More Information are on our Jobs & Vacancies page.
Litvinov et al. published together with Kilian the publication 'Modal Decomposition of the Precessing Vortex Core in a Hydro Turbine Model' in Applied Sciences.
The publication of Schubert et. al 'Towards robust data-driven reduced-order modelling for turbulent flows: application to vortex-induced vibrations' is now available online.
Simon Demange joined our group on the first of April, working on the DFG-funded project Linear Stability and Resolvent Analysis for Prediction and Mitigation of Wind Turbine Trailing-edge Noise.
The project 'Dynamics of turbulent separation bubbles – a linear modeling approach' in cooperation with Prof. Julien Weiss, ILR, TU Berlin was granted.
Sirko, Kilian and co-workers publish their article 'Repetitive Model Predictive Control for Load Alleviation on a Research Wind Turbine using Trailing Edge Flaps' in the Wind Energy Journal.
Simon Schmidt defended his PhD on the 14.03.2022.
We offer two courses the next semester: Control of turbulent flows and data analysis techniques in thermo-fluid dynamics.
Here you'll find a list of the courses our institute offers.
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Sandy Meinecke
sandy.meinecke@tu-berlin.de
+49 30 314-23359
+49 30 314-21101
