%0 Journal Article %1 gerritzen2022data %A Gerritzen, Johannes %A Hornig, Andreas %A Gröger, Benjamin %A Gude, Maik %D 2022 %I MDPI %J Journal of Composites Science %K topic_engineering 3D Approach Characterisation Composites Data Deformation Dependent Driven Experimental Failure Fibre Modelling Rate Reinforced Shear Strain Thermoplastic %N 10 %P 318 %T A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters %V 6

@article{gerritzen2022data, added-at = {2024-11-14T10:43:34.000+0100}, author = {Gerritzen, Johannes and Hornig, Andreas and Gr{\"o}ger, Benjamin and Gude, Maik}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2ba7d3107e436f8c5ae5ad8b85859be91/scadsfct}, interhash = {d425faefb399ec10d26057b5a2ce9f8b}, intrahash = {ba7d3107e436f8c5ae5ad8b85859be91}, journal = {Journal of Composites Science}, keywords = {topic_engineering 3D Approach Characterisation Composites Data Deformation Dependent Driven Experimental Failure Fibre Modelling Rate Reinforced Shear Strain Thermoplastic}, number = 10, pages = 318, publisher = {MDPI}, timestamp = {2024-11-22T15:45:21.000+0100}, title = {A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameters}, volume = 6, year = 2022 }