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Advanced Computational Fluid and Plasma Dynamics

3MT120

About this course

The course provides an introduction to advanced computational methods useful to investigate fluid and plasma flows and their dynamics from the micro- to the macro-scales, under laminar and turbulent flow regime. The course presents an overview of several key complementary computational methods.

  • Lattice Boltzmann Method (LBM);
  • (pseudo)-spectral methods;
  • Particle based methods (Molecular Dynamics, Brownian and Stokesian dynamics);
  • Finite volume methods;
  • Particle-in-cell Monte Carlo (PIC-MC).

Learning outcomes

After successfully completing this course, the student can:

  • Explain the different numerical methods: PBM, LBM, PS and FV.
  • Choose which numerical method is best for a given flow/plasma problem.
  • Develop and apply numerical methods to simple flow/plasma problems.
  • Reflect on and evaluate the correctness and accuracy of the methods.

Examination

Class and homework) on mandatory assignment(s) (written reports) - 60% of the final result; Individual assignment (written report) - 40% of the final result; In case of missing written reports an oral examination is foreseen. (NB: Composition of the tests may be changed)

Course requirements

Experience with programming is highly advisable. Without such experience, the course can be followed, but will take more effort than is represented by 5 EC

Resources

  • Materiaal wordt later verstrekt Will be made available by the lecturer

Activities

lectures homework groupwork

Additional information

  • Credits
    ECTS 5
  • Contact hours per week
    8
  • Instructors
    Alexey Lyulin, Federico Toschi, Herman Clercx, Jan ten Thije Boonkkamp, Jan van Dijk
  • Mode of instruction
    Online - at a specific time
If anything remains unclear, please check the FAQ of TU/e (The Netherlands).

Offering(s)

  • Start date

    3 February 2025

    • Ends
      6 April 2025
    • Term *
      Block GS3
    • Location
      Eindhoven
    • Instruction language
      English
    • Register between
      29 Oct - 29 Nov 2024
    • Time info
      Monday 17:30 - 19:30, Tuesday 13:30 - 17:30, Thursday 08:45 - 12:45
    Only 12 days to enrol
    Apply now
These offerings are valid for students of TUM (Germany)