IBS IBS

M.Sc. Jeremy Geiger

Teaching

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
Exercises to Non-linear Analysis of Surface Structures


Lectures in the current summer semester 2024

Exercises to Structural Analysis I

 

 

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