Computational Fluid Dynamics

The course "Computational Fluid Dynamics" will present an overview of computational fluid dynamics (CFD) in general, open-source libraries and programs for CFD and mesh types. Different numerical approaches to CFD (Finite Elements, Finite Volumes, Smooth Particle Hydrodynamics) will be discussed. The lecture part is complemented by practicals using open-source CFD software. Preliminary list of topics:

• Navier-Stokes and Euler equations

• overview of mesh types: e.g. structured, block-structured, unstructured; mesh quality

• overview of numerical methods: Finite Elements (FEM), Finite Volumes (FVM), Smooth Particle Hydrodynamics (SPH)

• flow types: laminar, turbulent; turbulence modeling

• compressible and incompressible fluids

• practicals using OpenFOAM (FVM based), using internal and external mesh generators.

• general aspects of HPC for CFD (hardware, distributed memory, shared memory, node interconnects, batch systems, bandwidth, latency, parallel scaling, Amdahl's law)

• parallelization of CFD

NB! This course will take place in autumn semester 2024/2025 which starts on 2nd of September and ends 26th of January (you can find that information under Start date section). The real course start and end dates will be announced at the beginning of September at the latest.

The student is able to:

• choose suitable discretization and numerical method;
• choose suitable programming language and/or library and/or CFD program;
• choose suitable computer architecture;
• use a CFD program/library.

Final assessment can consist of one test/assignment or several smaller assignments completed during the whole course. After declaring a course the student can re-sit the exam/assessment once. Assessment can be graded or non-graded. For specific information about the assessment process please get in touch with the contact person of this course. For specific information about grade transfer please contact your home university

Linux command-line knowledge

• Eymard, Galloyet, Herbin: Finite Volume Methods

lectures, exercises