Lab Course Computational Fluid Dynamics - Summer 11

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Term
Summer 10
Lecturer
Philipp Neumann, Atanas Atanasov, Christoph Kowitz
Time and Place
Friday, 14:00-17:00, MI 02.07.023, exact dates t.b.a.
Audience
Students of Computer Science (Master/Diplom, voluntary course, Module IN2106/IN8904)
Students of Mathematics (Master, voluntary course)
Students of Computational Science and Engineering (Master, voluntary course, Module IN2186)
Tutorials
-
Exam
no final exam
Semesterwochenstunden / ECTS Credits
6 SWS (6P) / 10 credits
TUMonline
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Requirements

Module IN1503 Introduction to Programming (Module IN1503), Introduction to Scientific Computing (Module IN 2005) or equivalent knowledge


Timeline

The timeline for the Lab Course is given below. Please check the timeline regularly as minor changes might still occur!

Date Room Session Contents Material
Feb 11, 14:00 02.07.023 Preliminary session Introduction to the Lab Course
May 06, 14:00 02.07.023 Lecture 1 The Navier-Stokes equations Pt. 1 Handout: Worksheet 1
May 13, 14:00 02.07.023 Lecture 2 The Navier-Stokes equations Pt. 2
May 20, 14:00 02.07.023 Lecture 3 The Lattice Boltzmann Method Handout: Worksheet 2
May 23, t.b.a. 02.05.033 Review session Worksheet 1 (Navier-Stokes)
Jun 03, 14:00 02.07.023 Lecture 4 Arbitrary geometries in CFD applications Handout: Worksheet 3
Jun 07, t.b.a. 02.05.033 Review session Worksheet 2 (Lattice Boltzmann)
Jun 10, 14:00 02.07.023 Lecture 5 Project phase: Topic presentations
Jun 17, 14:00 02.07.023 Meeting Project phase: Kick-off (Decision on project topics)
Jun 21, t.b.a. 02.05.033 Review session Arbitrary geometries
Jul 08, 14:00 02.07.023 Meeting/ Lecture 6 Intermediate project presentation and evaluation
Jul 26, t.b.a. 02.05.033 Review session Project phase
Jul 29, 14:00 02.07.023 Closing session Project presentations, feedback session, closing (beergarden) session at C2


Contents

The lab course gives an application oriented introduction to the following topics in computational fluid dynamics (lecturers may select certain deepening aspects):

  • Modelling of macroscopic fluid flow via the Navier-Stokes equations
    • Finite-Difference methods for spatial discretisation of the partial differential equations
    • Semi-implicit time-stepping methods for incompressible flow
  • Lattice Boltzmann Methods (LBM)
  • Smoothed Particle Hydrodynamics (SPH)

In the first half of the Lab (approx. the first 6-7 weeks of the lecture period), the theory behind the different methods (Navier-Stokes, LBM and SPH) is introduced and basic two-dimensional scenarios for each of these methods are simulated. Group work of at most three students is highly recommended! The programming language used for these exercises will be C.

In the second half (approx. the last 6-7 weeks of the lecture period), each student group focuses on an individual project evolving from a specialisation or extension of one of the presented methods. Possible topics comprise:

  • Domain decomposition and parallelisation of the existing solver using MPI
  • Algorithmic and code optimisations
  • Free surface flows
  • Integration of transport equations for heat or chemical species in the flow
  • Three-dimensional flow scenarios

During the project phase, the groups work independently on their project. However, in the midterm of the project phase, the students of each group present their results to their colleagues and the lecturers.

The lectures accompanying this lab course will be conducted in English. The assignments will also be given in English. Completed assignments in the first part of the term as well as the final project results will be presented by the students in English or German during a review session that is to be announced approx. one-two weeks in advance.


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Literature

  • M. Griebel, T. Dornseifer und T. Neunhoeffer: Numerical Simulation in Fluid Dynamics: A Practical Introduction. Siam Monographs on Mathematical Modeling and Computation. SIAM, Philadelphia, 1997.
  • M. Griebel, T. Dornseifer und T. Neunhoeffer: Numerische Simulation in der Strömungsmechanik. Vieweg, Braunschweig/Wiesbaden, 1995.
  • ParaView User’s Guide (Version 1.6). http://www.paraview.org/files/v1.6/ParaViewUsersGuide.PDF
  • ParaView Online Documentation. http://paraview.org/OnlineHelpCurrent/
  • S. Succi: The Lattice Boltzmann Equation for Fluid Dynamics and Beyond. Oxford University Press, 2001.
  • Dieter A. Wolf-Gladrow: Lattice-Gas Cellular Automata and Lattice Boltzmann Models - An Introduction. Springer, 2005.
  • G.R. Liu, M.B. Liu: Smoothed Particle Hydrodynamics. World Scientific Publishing, 2003