Master Thesis MSTR-2023-70

BibliographyKschidock, Helena: Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 70 (2023).
44 pages, english.

In this work, we implement, test, and validate an Euler-Lagrangian point-particle tracking framework for the commercial aerodynamics and aeroacoustics simulation tool ultraFluidX, which is based on the Lattice Boltzmann Method and optimized for GPUs. Our framework successfully simulates one-way and two-way coupled particle-laden flows based on drag forces and gravitation. Trilinear interpolation is used for determining the fluid's macroscopic properties at the particle position. Object and domain boundary conditions are implemented using a planar surface approximation. The whole particle framework is run within three dedicated GPU kernels, and data is only copied back to the CPU upon output. We show validation for the velocity interpolation, gravitational acceleration, back-coupling forces and boundary conditions, and test runtimes and memory requirements. We also propose the next steps required to make the particle framework ready for use in engineering applications.

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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation Software Engineering
Superviser(s)Uekermann, Jun.-Prof. Benjamin; Schulte, Prof. Miriam; Pasquali, Dr. Andrea
Entry dateFebruary 20, 2024
   Publ. Computer Science