Stochastic methods for fluid flow and transport processes
The thematic cluster has the objective to investigate stochastic mathematical methods for the modeling, simulation, and optimization of flow and transport processes. The latter are interdisciplinary in terms of the key themes of BTU, energy and environment, and thus of fundamental importance. Hence, the aerosol deposition in bio-energy technology (Chair of Mechanical Process Engineering), the stochastic modeling of turbulence (Chair of Numerical Flow and Gas Dynamics), geophysical and technical flows (Chair of Aerodynamics and Fluid Mechanics) or noise analysis (Chair of Technical Acoustics), are samples of engineering research topics, where BTU has already acquired a certain reputation on a national and international level.
The sub-projects (SP) 1–7 of the cluster are (project responsibles in brackets):
- SP 1 - L1-Regularisation of matrix-valued data under sparsity constraints: Optimization methods and statistical models for acoustic sources (Prof. Breuß)
- SP 2 - Robust stochastic modeling of complex driven systems (Prof. Hartmann)
- SP 3 - Stochastic effects of fluid and aerosol dynamics in electrohydrodynamically driven flows (Prof. Riebel)
- SP 4 - Flow control of a flat plate turbulent boundary layer flow through micro blowing under stochastic forcing (Prof. Egbers)
- SP 5 - Stochastic dynamics of homogeneous, stratified, and rotating shear flow (Prof. Harlander)
- SP 6 - A stochastic model for leading edge noise generation (Prof. Sarradj)
- SP 7 - Stochastic modeling of turbulent flows (Prof. Schmidt)
Several post-docs are actively involved in the cluster.