7 Publications
2025 | Conference Paper | LibreCat-ID: 62079
Gröger, B., Gerritzen, J., Hornig, A., & Gude, M. (2025). Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes. In G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, & F. Micari (Eds.), Sheet Metal 2025 (pp. 268–275). Materials Research Forum LLC, Materials Research Foundations. https://doi.org/10.21741/9781644903551-33
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 62080
Gerritzen, J., Hornig, A., & Gude, M. (2025). Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning. In G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, & F. Micari (Eds.), Sheet Metal 2025 (pp. 260–267). Materials Research Forum LLC, Materials Research Foundations. https://doi.org/10.21741/9781644903551-32
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 62081
Gerritzen, J., Gröger, B., Zscheyge, M., Hornig, A., & Gude, M. (2025). 3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers. Materials & Design, 260, Article 114969. https://doi.org/10.1016/j.matdes.2025.114969
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62073
Gröger, B., Gerritzen, J., Hornig, A., & Gude, M. (2024). Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 238(12), 2286–2298. https://doi.org/10.1177/14644207241280035
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 62078
Gerritzen, J., Hornig, A., Winkler, P., & Gude, M. (2024). Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, 1252–1259. https://doi.org/10.60691/yj56-np80
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62076
Gerritzen, J., Hornig, A., Winkler, P., & Gude, M. (2024). A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP. Computational Materials Science, 244, Article 113274. https://doi.org/10.1016/j.commatsci.2024.113274
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 62082
Gröger, B., Gerritzen, J., Eckardt, S., Gelencsér, A., Kunze, E., Hornig, A., Protz, R., & Gude, M. (2023). Modelling of Composite Manufacturing Processes Incorporating Large Fibre Deformations and Process Parameter Interactions - Example Braiding. Twenty-Third International Conference on Composite Materials (ICCM23), Belfast.
LibreCat
7 Publications
2025 | Conference Paper | LibreCat-ID: 62079
Gröger, B., Gerritzen, J., Hornig, A., & Gude, M. (2025). Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes. In G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, & F. Micari (Eds.), Sheet Metal 2025 (pp. 268–275). Materials Research Forum LLC, Materials Research Foundations. https://doi.org/10.21741/9781644903551-33
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 62080
Gerritzen, J., Hornig, A., & Gude, M. (2025). Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning. In G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, & F. Micari (Eds.), Sheet Metal 2025 (pp. 260–267). Materials Research Forum LLC, Materials Research Foundations. https://doi.org/10.21741/9781644903551-32
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 62081
Gerritzen, J., Gröger, B., Zscheyge, M., Hornig, A., & Gude, M. (2025). 3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers. Materials & Design, 260, Article 114969. https://doi.org/10.1016/j.matdes.2025.114969
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62073
Gröger, B., Gerritzen, J., Hornig, A., & Gude, M. (2024). Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 238(12), 2286–2298. https://doi.org/10.1177/14644207241280035
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 62078
Gerritzen, J., Hornig, A., Winkler, P., & Gude, M. (2024). Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, 1252–1259. https://doi.org/10.60691/yj56-np80
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62076
Gerritzen, J., Hornig, A., Winkler, P., & Gude, M. (2024). A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP. Computational Materials Science, 244, Article 113274. https://doi.org/10.1016/j.commatsci.2024.113274
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 62082
Gröger, B., Gerritzen, J., Eckardt, S., Gelencsér, A., Kunze, E., Hornig, A., Protz, R., & Gude, M. (2023). Modelling of Composite Manufacturing Processes Incorporating Large Fibre Deformations and Process Parameter Interactions - Example Braiding. Twenty-Third International Conference on Composite Materials (ICCM23), Belfast.
LibreCat