Seminar Fictitious Domain and Immersed Boundary methods (IN2183, IN2107)
Seminar Course - Fictitious Domain and Immersed Boundary Methods (IN2183, IN2107)
Course 0000000665 in WS 2016/7
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 |
Responsible/Coordination: Hans-Joachim Bungartz |
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 | Fictitious domain and immersed boundary methods have gained large interest over the last years, especially in the computational mechanics and computational fluid dynamics (CFD) research community. In these methods is the (finite element) discretization independent of the shape of the physical domain. This does not only prevent the critical process of mesh generation for complex domains, but it also offers the freedom of choice for structured, Cartesian or other discretization meshes. Therefore, it is especially important in the field of CFD and fluid structure interaction (FSI) where remeshing or moving mesh methods can have more computational cost. Another important application area is structural mechanics in biomedicine where models are obtained from voxelized sets of MRI images. The effort of mesh generation is replaced by a more advanced element integration which is an ongoing research effort together with the accurate imposition of boundary conditions. In this seminar, we will cover the different ingredients of fictitious domain and immersed boundary methods, discuss the current state of research and compare real world applications. |
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Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |