- State equations in fluid mechanics
- Reynolds-averaging and turbulence modeling
- Finite Volume Method
- Cost functions and constraints in fluid mechanics
- Shape optimization
- Optimal active flow control
- Continuous and discrete adjoint methods
- One-shot methods
Module INF-14-56-M-6
Optimization in Fluid Mechanics (M, 4.5 LP)
Module Identification
Module Number | Module Name | CP (Effort) |
---|---|---|
INF-14-56-M-6 | Optimization in Fluid Mechanics | 4.5 CP (135 h) |
Basedata
CP, Effort | 4.5 CP = 135 h |
---|---|
Position of the semester | 1 Sem. irreg. SuSe |
Level | [6] Master (General) |
Language | [EN] English |
Module Manager | |
Lecturers | |
Area of study | [INF-VIS] Visualisation and Scientific Computing |
Reference course of study | [INF-88.79-SG] M.Sc. Computer Science |
Livecycle-State | [NORM] Active |
Courses
Type/SWS | Course Number | Title | Choice in Module-Part | Presence-Time / Self-Study | SL | SL is required for exa. | PL | CP | Sem. | |
---|---|---|---|---|---|---|---|---|---|---|
2V+1U | INF-14-56-K-6 | Optimization in Fluid Mechanics
| P | 42 h | 93 h |
U-Schein
| ja | PL1 | 4.5 | irreg. SuSe |
- About [INF-14-56-K-6]: Title: "Optimization in Fluid Mechanics"; Presence-Time: 42 h; Self-Study: 93 h
- About [INF-14-56-K-6]: The study achievement [U-Schein] proof of successful participation in the exercise classes (ungraded) must be obtained. It is a prerequisite for the examination for PL1.
Examination achievement PL1
- Form of examination: oral examination (20-60 Min.)
- Examination Frequency: Examination only within the course
- Examination number: 61456 ("Optimization in Fluid Mechanics")
Evaluation of grades
The grade of the module examination is also the module grade.
Contents
Competencies / intended learning achievements
While questioning specific design and control problems in fluid mechanics, the students derive efficient methods (e.g. adjoint-based and one-shot methods) and learn how to set-up appropriate design chains to solve them.
In tutorials based on the open-source CFD code SU2, the students will get hands on the derived methods for optimization and control in fluid mechanics. The lecture is furthermore valuable for getting introduced to more general lectures on optimization with PDEs. For those students who have heard already lectures on optimization with PDEs, the lecture gives a specific problem and application oriented insight into this class of optimization problems.
Literature
Will be announced in the lecture.
Requirements for attendance (informal)
None
Requirements for attendance (formal)
None
References to Module / Module Number [INF-14-56-M-6]
Course of Study | Section | Choice/Obligation |
---|---|---|
[INF-88.79-SG] M.Sc. Computer Science | Specialization 1 | [WP] Compulsory Elective |
[MAT-88.105-SG] M.Sc. Mathematics | Applied Mathematics | [WP] Compulsory Elective |
[MAT-88.706-SG] M.Sc. Mathematics International | Applied Mathematics | [WP] Compulsory Elective |
[MAT-88.118-SG] M.Sc. Industrial Mathematics | Computer Science and Computational Methods | [WP] Compulsory Elective |