M.Sc. Seminar Partitioned FSI Fluid-Structure Interaction (IN218304, IN2107)
Course 0000003023 in WS 2020/1
General Data
Course Type | seminar |
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Semester Weekly Hours | 2 SWS |
Organisational Unit | Informatics 5 - Chair of Scientific Computing (Prof. Bungartz) |
Lecturers |
Gerasimos Chourdakis Benjamin Rodenberg |
Dates |
Thu, 10:00–12:00, virtuell and 2 singular or moved dates |
Assignment to Modules
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IN2183: CSE Seminar Scientific Computing / CSE Seminar Course Scientific Computing
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 | In this seminar, we address theory, algorithms, and software for partitioned fluid-structure interaction (either mechanical FSI, or conjugate heat transfer). Partitioned means that we try to solve the problem reusing existing solvers, which we treat in a black-box fashion. Topics range from theoretical considerations of this splitting-error to practical realizations in software packages to actual simulations. For this seminar, students need to write a short paper, give a presentation, and optionally review papers of other students, preparing them for similar situations. Possible topics include: - Partitioned vs Monolithic FSI - preCICE from a user's perspective - Conjugate Heat Transfer - Data mapping - Explicit and implicit coupling - Inter-solver communication - Moving geometries / mechanical FSI - Added mass effect - Interface Quasi-Newton - Turek&Hron FSI benchmarks - Time interpolation - Testing of partitioned simulations A list of more topics with details is available on Moodle. Additional topics about partitioned multi-physics/multi-model simulations are also welcome, as long as they fit the goals of the seminar. |
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Links |
E-Learning course (e. g. Moodle) TUMonline entry |