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.
Am 10.10.2025 fand an der RUB die 3. Ausgabe des GAMM Student Chapter Science Slam mit insgesamt 35 Teilnehmer*innen aus Hamburg, Hannover, Braunschweig, Dortmund, Duisburg-Essen und Bochum statt.
Vom 5.-6. Juni hat der Lehrstuhl gemeinsam mit dem Team von Prof. Dr. Hung Nguyen-Xuan, Center for Interdisciplinary Research Technology, Ho Chi Minh City University of Technology, einen Workshop zur Topologieoptimierung ausgerichtet. An dem 2-tägigen Workshop, der gemeinsam mit dem SFB 1683 veranstaltet wurde, nahmen über 30 Wissenschaftler*innen teil.
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.
