M.Sc. Jeremy Geiger
- Research Assistant
- Office Hours:
Freitags 14:00-15:30 Uhr
und nach Vereinbarung
Fridays 2:00 p.m.-3:30 p.m
and by arrangement - Room: 207
- Phone: +49(0)721 608-46129
- Fax: +49(0)721 608-46015
- jeremy geiger ∂does-not-exist.kit edu
Teaching
Exercises to Structural Analysis I
Exercises to Structural Analysis II
Exercises to Stability of Structures
Exercises to Computational Analysis of Structures
Exercises to Non-linear Analysis of Beam Structures
Exercises to Surface Structures
Exercises to FE-Applications in Practical Engineering
Lectures in the current winter semester 2023/24:
Exercises to Non-linear Analysis of Surface Structures
Short CV
| 1994 | geboren in Stuttgart |
| 2013 | Abitur am Ulrichsgymnasium, Norden |
| 2013 | Bachelorstudium des Bauingenieurwesens am Karlsruher Institut für Technologie (KIT) |
| 2016 | Bachelorarbeit am Institut für Baustatik, KIT Thema: Modellierung von 2D-Vouten-Elementen: Theorie und numerische Modelle |
| 2017 | Masterstudium des Funktionalen und Konstruktiven Ingenieurbaus, KIT |
| 2019 | Masterarbeit am Institut für Baustatik, KIT Thema: Mehrskalenmodellierung anisotroper elastischer Materialien mit künstlichen neuronalen Netzen Ausgezeichnet beim DYNAmore-Preis 2019 |
| seit 2020 | Wissenschaftlicher Mitarbeiter am Institut für Baustatik, KIT |
Research
Multiscale modeling with artificial neural networks
Publications
2024
Geiger, J.; Wagner, W.; Freitag, S.:
Multiscale modeling of viscoelastic shell structures with artificial neural networks
9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 3-7 June, 2024, Lisbon, Portugal.
2023
Geiger, J.; Wagner, W.; Freitag, S.:
Constrained Neural Network Training with Application to Multiscale Modeling of Inelastic and Time-Dependent Materials
2nd IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology, 24-27 September, El Paso, USA.
2022
Geiger, J., Wagner, W., Freitag, S.:
Multiscale modeling of shell structures with artificial neural networks
8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 5-9 June, 2022, Oslo, Norway
2021
Weber, P., Geiger, J., Wagner, W., Freitag, S.:
Incoorporating physical restrictions by constraint optimization techniques for ANN-based hyperelastic material modeling
7th GAMM AG Data Workshop, December 15, 2021, online
Weber, P., Geiger, J., Wagner, W.:
Constrained neural network training and its application to hyperelastic material modeling,
Computational Mechanics, 68, 1179–1204, 2021,
https://doi.org/10.1007/s00466-021-02064-8