Dipl.-Ing. Johannes Gerritzen
Sonderforschungsbereich Transregio 285
Mitglied - Externer
Teilprojekt A03
- E-Mail:
- johannes.gerritzen@tu-dresden.de
- Telefon:
- +49 351 463-42637
- ORCID:
- 0000-0002-0169-8602
- Web:
- Homepage (Extern)
Publikationen
Aktuelle Publikationen
Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes
B. Gröger, J. Gerritzen, A. Hornig, M. Gude, in: G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, F. Micari (Eds.), Sheet Metal 2025, Materials Research Forum LLC, Materials Research Foundations, 2025, pp. 268–275.
Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning
J. Gerritzen, A. Hornig, M. Gude, in: G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, F. Micari (Eds.), Sheet Metal 2025, Materials Research Forum LLC, Materials Research Foundations, 2025, pp. 260–267.
3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers
J. Gerritzen, B. Gröger, M. Zscheyge, A. Hornig, M. Gude, Materials & Design 260 (2025).
LOCAL DEFORMATION AND FAILURE OF COMPOSITES DURING SELF-PIERCING RIVETING: A CT BASED MICROSTRUCTURE INVESTIGATION
A. Dargel, B. Gröger, M.C. Schlichter, J. Gerritzen, D. Köhler, G. Meschut, M. Gude, R. Kupfer, in: J.F.S. Gomes, S.A. Meguid (Eds.), Proceedings of the 8th International Conference on Integrity-Reliability-Failure (IRF2025), FEUP, Porto, 2025.
Quality assurance of clinched joints using explainable machine learning
J. Gerritzen, K. Chopra, G. Reschke, A. Hornig, A. Brosius, M. Gude, Journal of Advanced Joining Processes 13 (2025).
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