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22.09.2021 04:16:48
mar732 - Computational Fluid Dynamics (Complete module description)
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Module label Computational Fluid Dynamics
Module code mar732
Credit points 6.0 KP
Workload 180 h
(
Kontaktzeit: 56 h, Selbststudium: 124 h
)
Institute directory Institute for Chemistry and Biology of the Marine Environment
Applicability of the module
  • Master's Programme Environmental Modelling (Master) > Mastermodule
Responsible persons
Lukassen, Laura (Module responsibility)
Stoevesandt, Bernhard (Module counselling)
Prerequisites
none
Skills to be acquired in this module

-    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

Reader's advisory

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).

Links
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency
Module capacity unlimited
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method Sommersemester
VL/Ü Computational Fluid Dynamics I (3 KP)
VL/Ü Computational Fluid Dynamics II (3 KP)
(jede dieser Veranstaltungen nimmt nur ein halbes Semester ein)
Vorkenntnisse / Previous knowledge Nützliche Vorkenntnisse:
Basic knowledge in mathematics & physics
Fluiddynamik I + II
Examination Time of examination Type of examination
Final exam of module
Klausur am Ende der Veranstaltungszeit oder fachpraktische Übungen oder mündliche Prüfung oder Hausarbeit oder Referat nach Maßgabe der Dozentin oder des Dozenten
KL
Course type Lecture and tutorial
SWS 4
Frequency SoSe oder WiSe
Workload attendance 56 h