Multibody Simulation Solver Pre-Conditioning using Neural Networks
- Institut
- Lehrstuhl für Angewandte Mechanik
- Typ
- Bachelorarbeit Semesterarbeit Masterarbeit
- Inhalt
- theoretisch
- Beschreibung
Topic:
One approach for calculating the dynamics of a multibody system involves the use of Newton iterations to sucessively reduce the residual of the EOMs for each simulation step. This process is especially computationally expensive if the starting point for the iterations is far from the correct solution. This thesis will explore the idea of using a Neural Network to cheapely create a "good enough" guess which then only requires a few iterations to correct. After implementing the approach an analysis will be conducted to determine under which circumstances this leads to a reduction in simulation time.
As with all my theses, the proposed topic is just a starting point. It is flexible and can be adjusted to what interests you and what direction the research leads. The expectations regarding results, prerequisits and work-ethic will be modulated based on whether a MA/SA or BA is written.
Application:
Please send all previous transcripts of records and your full CV to tomas.slimak@tum.de with the subject Application MA/SA/BA "name of thesis". Write a few sentences about what motivates you to apply for this thesis and why you would fit the topic. Please be specific in citing the experience/expertise that you have which would be relevant to this topic.
After submitting your application, it will be reviewed and if you are deemed suitable for the topic, you will be invited for an interview. Please be aware that part of this interview will be an oral evaluation of your background and understanding of concepts relevant to the thesis. The more preparation, creativity and initiative you are able to show, the better.
If you are interested in multiple theses that I am offering, do not send multiple applications, just name all the titles in a single mail. Applications and theses can be submitted in English or German as well.
- Voraussetzungen
- Möglicher Beginn
- sofort
- Kontakt
-
Tomas Slimak, M.Sc.
Raum: 3104
Tel.: +49 (89) 289 - 15226
tomas.slimaktum.de - Ausschreibung