Prüfung
BTU-Vorlesungsverzeichnis ↗- Dienstag16 Feb 202708:00 bis 10:30
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13762Fakultät 3 – Maschinenbau, Elektro- und Energiesysteme
CFD 2
Lernergebnisse
After successful completion of this course, participants have gained a general understanding of the formulations, discretization strategies, numerical approaches, and burdens for computer simulations of compressible and incompressible fluid flows. They have furthermore learned how to quantify the role of compressibility and to judge its influence for a given application. Hands-on exercises strengthen the theoretical background thought and put the students in the position to be able to select the most suitable numerical tools.
Inhalte
- Conserved quantities and conservation laws
- Mathematical properties of the governing equations
- Discretization strategies (conservative vs. non-conservative, FDM vs. FVM)
- Systems of scalar conservation equations
- Mach-number asymptotics
- Riemann problem
- Exact and approximate Riemann solvers
- Flux functions, reconstructions, and limiters
- Shock waves and other discontinuities
- Role of pressure and Poisson problem
- Poisson solvers (direct, spectral, iterative)
- Pressure-projection schemes
- Nonlinear instability and (de-)aliasing
Voraussetzungen
Verpflichtende Voraussetzungen
Keine
Empfohlene Voraussetzungen
Interest in numerical simulations of fluid flows with an inclination for computational methods relevant across applications. Successful completion of the courses CFD 0 and CFD 1 offered by the department is highly recommended but not mandatory.
Prüfungsmodalitäten
Oral examination, ~30-40 min
Termine im WiSe 26/27
Die einzigen Termine im WiSe 26/27 sind Prüfungstermine – gelehrt wird das Modul in diesem Semester nicht.
Angeboten in
- Hybrid Electric Propulsion TechnologyMaster
Wahlpflichtkomplex: Kein Komplex genannt
- Maschinenbau—
Wahlpflichtkomplex: Kein Komplex genannt
- Maschinenbau - dualMaster
Wahlpflichtkomplex: Kein Komplex genannt
| Studiengang | Abschluss | Wahlpflichtkomplex |
|---|---|---|
| Hybrid Electric Propulsion Technology | Master | Kein Komplex genannt |
| Maschinenbau | — | Kein Komplex genannt |
| Maschinenbau - dual | Master | Kein Komplex genannt |
Literatur und Materialien
- Kong, Siauw & Bayen. Python Programming and Numerical Methods: A Guide for Engineers and Scientists. Academic Press, 2020. URL: https://pythonnumericalmethods.berkeley.edu/notebooks/Index.html
- Ferziger, Péric & Street. Computational Methods for Fluid Dynamics. Fourth Edition. Springer, 2020. ISBN: 978-3-319-99691-2
- LeVeque. Finite Volume Methods for Hyperbolic Problems. Cambridge University Press, 2002.
- LeVeque. Numerical Methods for Conservation Laws. Lectures in Mathematics, ETH Zurich. Birkhauser-Verlag, Basel, 1990. ISBN 3-7643-2464-3
- Orlandi. Fluid Flow Phenomena: A Numerical Toolkit. Kluwer, 2000.
- Geurts. Elements of Direct and Large-Eddy Simulation. Edwards, 2003.
Hinweise
The module primarily aims at Master students in the engineering and natural sciences who plan to specialize in a field that has a strong link to computational fluid dynamics
Bewertungen von Studierenden
Was Studierende über dieses Modul sagen. Die BTU hat damit nichts zu tun — hier schreiben nur Studierende, und jede Bewertung ist die Meinung einer einzelnen Person.