Prof.'in Dr.-Ing. Johanna Waimann
On July 10, 2025, Dr. Mischa Blaszczyk received the Gert Massenberg Prize for his dissertation “Forward and inverse multiscale modeling of cancellous bone considering the full coupling of mechanical, electrical and magnetic effects” during the semester concert at RUB.
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.
