Master-Practical Course: Scientific Computing: CFD (IN2186, IN2106, IN2397, IN4085)
Course 0821087599 in SS 2023
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 5 - Chair of Scientific Computing (Prof. Bungartz) |
| Lecturers |
Ravil Dorozhinskii Markus Mühlhäußer Qing Sun Responsible/Coordination: Hans-Joachim Bungartz |
| Dates |
Thu, 12:00–16:00, MI 02.07.023 |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | This practical course is also referred to in short as "CFD Lab". In SS2023, we will cover the following topics: - Numerical simulation of flows using the Navier-Stokes equations - Discretisation of space/time - Stability and convergence criteria - Implementational issues, Efficient solver strategies - Computing flows around arbitrary geometries - Heat transfer - Code Parallelization - Project work with topics such as: Conjugate heat transfer simulations, Lattice Boltzmann Method, Free Surface Flow, ... Students will be working in groups on a small C++ finite differences framework and will be using dependencies such as ParaView, VTK, MPI, and more, which are most easy to setup and use on Linux. |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |