Prof.'in Dr.-Ing. Johanna Waimann
The compaction mechanisms of SiO2 glass under pressure include under certain conditions a specific reduction of the elastic moduli and a complex inelastic behavior whose nature is not yet fully understood. In our work we establish a variational framework describing the evolution of SiO2 glass under hydrostatic pressure.
Sarah Dinkelacker-Steinhoff & Klaus Hackl (2026). On a variational model for phase transformation in SiO2 glass, arXiv 2606.19021, https://arxiv.org/abs/2606.19021.
On October 10, 2025, the third edition of the GAMM Student Chapter Science Slam took place at RUB with a total of 35 participants from Hamburg, Hanover, Braunschweig, Dortmund, Duisburg-Essen, and Bochum.
From June 5-6, the chair hosted a workshop on topology optimization together with the team of Prof. Dr. Hung Nguyen-Xuan, Center for Interdisciplinary Research Technology, Ho Chi Minh City University of Technology. Over 30 researchers participated in the two-day workshop, which was organized jointly with the Collaborative Research Center (SFB) 1683.
We enhance the conventional physics-informed neural network framework by implementing the principles of data-driven computational mechanics into GANs.
Ciftci, K., & Hackl, K. (2024). A physics-informed GAN framework based on model-free data-driven computational mechanics. Computer Methods in Applied Mechanics and Engineering, 424, 116907.
We present a two-scale finite element (FE) and fast Fourier transformation (FFT)-based method incorporating finite strains and a thermo-mechanically coupled constitutive model for elasto-viscoplastic polycrystalline materials.
Schmidt, A., Gierden, C., Fechte-Heinen, R., Reese, S. & Waimann, J., (2025). Efficient thermo-mechanically coupled and geometrically nonlinear two-scale FE-FFT-based modeling of elasto-viscoplastic polycrystalline materials. Computer Methods in Applied Mechanics and Engineering, 435, 117648.
