Research Projects 2nd Cohort

Efficient Bridging Temporal Scales for Fatigue Damage Simulations via Compressive Sensing Approach

Team: Jannik Jarms, Udo Nackenhorst

Year: 2025
Numerical modeling of wear in smooth conformal contact joints

Team: Vivien Fouquet, Pierre-Alain Guidault, François Louf, Pierre-Alain Boucard, Udo Nackenhorst

Year: 2024
On a modular coupling strategy for high-performance computing of multiphysics problems

Team: Elise Foulatier, Pierre-Alain Boucard, David Néron, François Louf, Philipp Junker

Year: 2024
Development of learning methods for controlling highly non-linear calculations in structural mechanics

Team: Elio Marquis, Emmanuel Baranger, Pierre-Alain Guidault

Year: 2024
Towards a numerical strategy dedicated to robust design: development and implementation of a multiscale local/global approach taking variabilities and uncertainties into account

Team: Lea Karaouni, Ludovic Chamoin, Olivier Allix, Udo Nackenhorst

Year: 2024
Modeling of biofilms in flow fields using porous medium theory and the one-domain approach

Team: Jamal Ahmed Bhatti, Insa Neuweiler, Ludovic Chamoin

Year: 2024
Goal oriented DWR error estimation for the Virtual Elements Method for the space-time thermodynamic topology optimization

Team: Christian Sellmann, Phillip Junker, Thomas Wick, David Neron

Year: 2024
Physics-based machine learning for inverse design of porous metamaterials

Team: Phu Thien Nguyen, Fadi Aldakheel, Ludovic Chamoin

Year: 2024
A Numerical Investigation of Granular Structure Influences on Battery Performances

Team: Asli Tabak Cevit, Yupeng Jiang, Pierre-Alain Boucard

Year: 2024
Augmenting transport maps with metamodel tools for an accurate and efficient Bayesian framework for dynamical systems

Team: Lukas Fritsch, Micheal Beer, Ludovic Chamoin

Year: 2024
Space-time fluid-structure interaction with space-time error control and adaptivity in discretization errors and reduced order modeling

Team: Ramakrishnan Chandran, Thomas Wick

Year: 2024
Space-time adaptivity and model order reduction with digital image/volume correlation with application to parameter identification in phase-field fracture

Team: Leon Kolditz, Thomas Wick

Year: 2024
Efficient Computational Analysis of Composite Joints through Machine Learning Assisted Abstract Modelling Techniques

Team: Aditya Bansod, Raimund Rolfes

Year: 2024

Research Projects 1st Cohort

Tomography scans for time-dependent phenomena enhanced by numerical simulations

Team: Viktor Kosin, Amélie Fau, François Hild, Thomas Wick

Year: 2022
A reduced order approach to predict buckling initiated by nonlinear material response in composites

High-performance fiber reinforced plastics are widely spread in aerospace and wind industry. It is challenging to predict the complex damage progression and degradation behavior of composites in case of impact, multiaxial strains and fatigue, their strength and stability.

Team: Swami Subramaniyan Venkat, Raimund Rolfes, Emmanuel Baranger, Olivier Allix

Year: 2022
Application of stochastic and machine learning approaches for efficient analysis of dynamical systems

Team: Benjamin Hirzinger, Udo Nackenhorst

Year: 2022
Efficient stochastic finite element method for high-dimensional nonlinear stochastic problems

Team: Zhibao Zheng, Udo Nackenhorst

Year: 2021

Funding: Alexander von Humboldt-Foundation
Adaptive finite elements and high-performance parallel solvers for Digital Volume Correlation based on phase-field models applied to cementitious materials

Team: Samy Dray, Amélie Fau, François Hild, Thomas Wick

Year: 2021
Development of thermomechanical models for the optimised design of optical fibre gyroscopes

Team: Pierre Busnel, Pierre-Alain Boucard, François Louf, Philipp Junker

Year: 2021
Physical/data coupling approach for creating a digital twin

Team: Floriane Wurtzer, Pierre-Alain Boucard, David Néron, Raimund Rolfes, Michael Beer

Year: 2021
Real-time data assimilation on systems with damage

Team: Antoine Benady, Ludovic Chamoin, Insa Neuweiler, Philipp Junker

Year: 2021
Stochastic two-scale approach on fatigue simulation of concrete specimen

Team: Ammar Airoud Basmaji, Udo Nackenhorst, Frédéric Ragueneau, Amélie Fau

Year: 2021
Adaptive space-time goal-oriented methods for nonstationary fluid-structure interaction

Team: Julian Roth, Thomas Wick, Ludovic Chamoin

Year: 2021
Fast parametric investigations for bone-implant surgery planning

Team: Fynn Bensel, Udo Nackenhorst, Pierre-Alain Boucard

Year: 2021
Error models for non-resolved structure or processes in simplified geothermal reservoir models

Team: Wansheng Gao, Insa Neuweiler, Ludovic Chamoin

Year: 2021
Image-driven reduced order modelling of hierarchical multiscale flow systems

Team: Ahsan Ali Siddiqui, Dominik Schillinger, David Néron, François Hild

Year: 2021
Real-time diagnostics of complex mechanical systems

Team: Jan Grashorn, Michael Beer, Ludovic Chamoin

Year: 2021
Time-separated stochastic mechanics for damage processes

Team: Hendrik Geisler, Philipp Junker, Emmanuel Baranger

Year: 2021
Efficient time-dependent reliability analysis of dynamical systems

Team: Marius Bittner, Michael Beer, Amélie Fau

Year: 2021
Proper orthogonal decomposition and model order reduction for multiphysics problems such as biofilm, porous media, fluid-structure interaction

Team: Hendrik Fischer, Thomas Wick, Amélie Fau

Year: 2021
Modelling the static and dynamic behaviour of masonry structures

Team: Heloise Rostagni, Frédéric Ragueneau, Cédric Giry, Dominik Schillinger

Year: 2020
Model reduction for the construction of fragility curves in earthquake engineering

Team: Alexandre Daby-Seesaram, David Néron, Amélie Fau, Michael Beer

Year: 2020
Hybrid and pseudo-dynamic experimental tool boxes

Team: Bastien Bodnar, Frédéric Ragueneau, Fabrice Gatuingt, Udo Nackenhorst

Year: 2020