I am involved in the development and validation of the multi-physics software waLBerla. Its aim is to provide a flexible framework for CFD simulations and beyond that efficiently makes use of current and future supercomputers.
My special focus there is on particulate flows, i.e. the description of particle-fluid interactions. Applications are the sediment transport in river beds or fluidized bed reactors.
I lead the exercises for the courses “Simulation and Scientific Computing 1” and “Simulation and Scientific Computing 2”, which are one of the key lectures in the Computational Engineering program.
Formerly, I was the tutor for the course “Numerical Simulation of Fluids”. Therein, the students got to know the concepts of CFD and apply a suitable discretization method to finally come up with a self-implemented fluid flow simulator.
Topics upon consultation. Contact me if you are interested in CFD simulations.
M. Rippl, Computational Analysis of Particle Migration in a Square Micro Channel, Master Thesis, 2016
C. Rettinger, M. Avila (LSTM, FAU)
D. Schuster, Direct Numerical Simulations of Fluidized Beds with the Lattice Boltzmann Method, Master Thesis, 2017
C. Rettinger, U. Rüde, V. Buwa (IIT Delhi)
S. Valencia, Direct Numerical Simulation of Particle Agglomeration with the Lattice Boltzmann Method, Master Thesis, 2018
C. Rettinger, U. Rüde
D. Ribica, Code Generation vs. HPC Framework, Bachelor Thesis, 2018
S. Kuckuk, C. Rettinger, H. Köstler
J. Wendler, Predicting Particle-Fluid Drag Forces Using Deep Neural Networks, Bachelor Thesis, 2018
C. Rettinger, H. Köstler