mar732 Computational Fluid Dynamics (Complete module description)

mar732 Computational Fluid Dynamics (Complete module description)

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Module label Computational Fluid Dynamics
Modulkürzel mar732
Credit points 6.0 KP
Responsible institute Institute for Chemistry and Biology of the Marine Environment
Zuständige Personen
module responsibility:
Laura Lukassen
Module counselling:
Bernhard Stoevesandt
Prerequisites

none

Languages of instruction German, English
Lernergebnisse/Kompetenzen

- Provide basic knowledge in physical flow modeling and turbulence
- Mathematical realizations, i.e., numerical methods
- Overview of numerical techniques of practical relevance, capability of selecting a model for specific applications (strengths and weaknesses of various model classes)
- Practice with state-of-the-art models

Module contents

- Navier-Stokes equations
- Filtering/averaging of Navier-Stokes equations
- Introduction to numerical methods
- Finite-differences, finite-volumes methods
- Linear equation systems, NS-solvers, RANS, URANS, LES, DNS
- Turbulent flow, incompressible & compressible flow
- Efficiency and accuracy
- Application of OpenFOAM and PALM models

Literaturempfehlungen

J.H. Ferziger and M. Peric: Computational Methods for Fluid Dynamics, Springer, 2002.

C. Hirsch: Numerical Computation of Internal and External Flows: Introduction to the Fundamentals of CFD. Vol 1: The Fundamentals of Computational Fluid Dynamics, 2nd Ed., Butterworth-Heinemann, 2007.

P. Sagaut: Large Eddy Simulation for Incompressible Flows, Springer, 1998.

J. Fröhlich: Large Eddy Simulationen turbulenter Strömungen, Teubner, 2006 (in German).

Zu erbringende Leistungen
Prüfungsart, -umfang, -dauer
KL
Prüfungszeiten

Klausur am Ende der Veranstaltungszeit oder fachpraktische Übungen oder mündliche Prüfung oder Hausarbeit oder Referat nach Maßgabe der Dozentin oder des Dozenten

Duration (semesters) 1 Semester
Frequency
Workload
Arbeitsaufwand gesamt Davon Präsenzzeit
180 h

Kontaktzeit: 56 h, Selbststudium: 124 h

Form of instruction
Course type SWS Frequency Workload Präsenzzeit
Vorlesung und Übung 4 SoSe oder WiSe 56 h
Verwendbarkeit des Moduls
  • Master's Programme Environmental Modelling > Mastermodule