7 Publications
2025 | Conference Paper | LibreCat-ID: 62079
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude, “Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes,” in Sheet Metal 2025, 2025, pp. 268–275, doi: 10.21741/9781644903551-33.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 62080
J. Gerritzen, A. Hornig, and M. Gude, “Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning,” in Sheet Metal 2025, 2025, pp. 260–267, doi: 10.21741/9781644903551-32.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 62081
J. Gerritzen, B. Gröger, M. Zscheyge, A. Hornig, and M. Gude, “3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers,” Materials & Design, vol. 260, Art. no. 114969, 2025, doi: 10.1016/j.matdes.2025.114969.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62073
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude, “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, vol. 238, no. 12, pp. 2286–2298, 2024, doi: 10.1177/14644207241280035.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 62078
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning,” in ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 2024, vol. 3, pp. 1252–1259, doi: 10.60691/yj56-np80.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62076
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “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, vol. 244, Art. no. 113274, 2024, doi: 10.1016/j.commatsci.2024.113274.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 62082
B. Gröger et al., “Modelling of Composite Manufacturing Processes Incorporating Large Fibre Deformations and Process Parameter Interactions - Example Braiding.” 2023.
LibreCat
7 Publications
2025 | Conference Paper | LibreCat-ID: 62079
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude, “Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes,” in Sheet Metal 2025, 2025, pp. 268–275, doi: 10.21741/9781644903551-33.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 62080
J. Gerritzen, A. Hornig, and M. Gude, “Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning,” in Sheet Metal 2025, 2025, pp. 260–267, doi: 10.21741/9781644903551-32.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 62081
J. Gerritzen, B. Gröger, M. Zscheyge, A. Hornig, and M. Gude, “3D viscoelastic plastic model coupled with a continuum damage formulation for fiber reinforced polymers,” Materials & Design, vol. 260, Art. no. 114969, 2025, doi: 10.1016/j.matdes.2025.114969.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62073
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude, “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, vol. 238, no. 12, pp. 2286–2298, 2024, doi: 10.1177/14644207241280035.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 62078
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning,” in ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 2024, vol. 3, pp. 1252–1259, doi: 10.60691/yj56-np80.
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 62076
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “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, vol. 244, Art. no. 113274, 2024, doi: 10.1016/j.commatsci.2024.113274.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 62082
B. Gröger et al., “Modelling of Composite Manufacturing Processes Incorporating Large Fibre Deformations and Process Parameter Interactions - Example Braiding.” 2023.
LibreCat