What is computational fluid dynamics

Semester duration:
One semester
Winter semester

* The number of credits can vary depending on the degree program in individual cases. The value shown in the transcript of records or performance record applies.
Description of the study / examination achievements:
The examinations are carried out in the form of written exams. This is to prove that a problem can be recognized in a limited time and with limited resources and ways to find a correct solution. The content of the examination covers the entire content of the lecture. Factual and contextual knowledge are checked in a short question section, problem-solving skills in a math section.
Repetition option:
In the following semester: Yes
At the end of the semester: No.
(Recommended) requirements:
Mathematical basics, differential and integral calculus, modeling and simulation with ordinary differential equations, continuum mechanics, numerical treatment of partial differential equations
Learning outcomes:
After successfully completing the module computer-aided solids and fluid mechanics, the students have: (1) basic knowledge of numerical methods for simulation in continuum mechanics, (2) the ability to mathematically and physically assess basic types of partial differential equations, (3) the ability to perform dynamic Analysis of continua using the laws of conservation of mass, momentum and energy, (4) knowledge of the elementary basic discretization methods, (5) the ability to assess and analyze the stability, consistency and convergence of numerical methods.
The module computer-aided solid-state and fluid dynamics teaches the basics of numerical modeling and calculation of the behavior of solid and liquid continua and thus belongs to the extended basic engineering training in classical mechanics. The lecture also forms a basis for further lectures on numerical simulation in master’s courses. Contents: (1) Fundamentals of numerical simulation in continuum mechanics, (2) Mathematical and physical properties of the basic types of partial differential equations, (3) Discretization methods for partial differential equations, (4) Consistency, stability and convergence, (5) Solution methods.
Teaching and learning method:
Lecture: Performing teaching method. Exercise: Presenting and developing teaching method.
Media forms:
Presentation, script, cases and solutions
Lecture manuscript, exercise documents
Courses (form of teaching, SWS) Lecturer:

240504257 Computational Solid and Fluid Dynamics (MSE) (MW1407) (2SWS VO, WS 2020/21)
Hu X, Wall W, Meier C

240504258 Exercises on Computational Solid and Fluid Dynamics (MSE) (MW1407) (1SWS UE, WS 2020/21)
Hu X, Wall W, Verdugo Rajano F, Popp A