{"issue":"10","oa":"1","year":"2022","author":[{"first_name":"Johannes","last_name":"Gerritzen","full_name":"Gerritzen, Johannes"},{"last_name":"Hornig","full_name":"Hornig, Andreas","first_name":"Andreas"},{"full_name":"Gröger, Benjamin","last_name":"Gröger","first_name":"Benjamin"},{"last_name":"Gude","full_name":"Gude, Maik","first_name":"Maik"}],"department":[{"_id":"630"}],"publisher":"MDPI AG","date_created":"2022-12-06T20:42:38Z","main_file_link":[{"url":"https://www.mdpi.com/2504-477X/6/10/318","open_access":"1"}],"article_number":"318","citation":{"chicago":"Gerritzen, Johannes, Andreas Hornig, Benjamin Gröger, and Maik Gude. “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.” <i>Journal of Composites Science</i> 6, no. 10 (2022). <a href=\"https://doi.org/10.3390/jcs6100318\">https://doi.org/10.3390/jcs6100318</a>.","mla":"Gerritzen, Johannes, et al. “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.” <i>Journal of Composites Science</i>, vol. 6, no. 10, 318, MDPI AG, 2022, doi:<a href=\"https://doi.org/10.3390/jcs6100318\">10.3390/jcs6100318</a>.","apa":"Gerritzen, J., Hornig, A., Gröger, B., &#38; Gude, M. (2022). 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. <i>Journal of Composites Science</i>, <i>6</i>(10), Article 318. <a href=\"https://doi.org/10.3390/jcs6100318\">https://doi.org/10.3390/jcs6100318</a>","ieee":"J. Gerritzen, A. Hornig, B. Gröger, and M. Gude, “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,” <i>Journal of Composites Science</i>, vol. 6, no. 10, Art. no. 318, 2022, doi: <a href=\"https://doi.org/10.3390/jcs6100318\">10.3390/jcs6100318</a>.","short":"J. Gerritzen, A. Hornig, B. Gröger, M. Gude, Journal of Composites Science 6 (2022).","ama":"Gerritzen J, Hornig A, Gröger B, Gude M. 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. <i>Journal of Composites Science</i>. 2022;6(10). doi:<a href=\"https://doi.org/10.3390/jcs6100318\">10.3390/jcs6100318</a>","bibtex":"@article{Gerritzen_Hornig_Gröger_Gude_2022, 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}, DOI={<a href=\"https://doi.org/10.3390/jcs6100318\">10.3390/jcs6100318</a>}, number={10318}, journal={Journal of Composites Science}, publisher={MDPI AG}, author={Gerritzen, Johannes and Hornig, Andreas and Gröger, Benjamin and Gude, Maik}, year={2022} }"},"intvolume":"         6","project":[{"name":"TRR 285: TRR 285","grant_number":"418701707","_id":"130"},{"_id":"131","name":"TRR 285 - A: TRR 285 - Project Area A"},{"_id":"137","name":"TRR 285 – A03: TRR 285 - Subproject A03"}],"keyword":["Engineering (miscellaneous)","Ceramics and Composites"],"status":"public","language":[{"iso":"eng"}],"volume":6,"publication_status":"published","user_id":"14931","type":"journal_article","doi":"10.3390/jcs6100318","_id":"34256","date_updated":"2023-01-02T11:06:15Z","publication_identifier":{"issn":["2504-477X"]},"abstract":[{"lang":"eng","text":"<jats:p>The 3D shear deformation and failure behaviour of a glass fibre reinforced polypropylene in a shear strain rate range of γ˙=2.2×10−4 to 3.4 1s is investigated. An Iosipescu testing setup on a servo-hydraulic high speed testing unit is used to experimentally characterise the in-plane and out-of-plane behaviour utilising three specimen configurations (12-, 13- and 31-direction). The experimental procedure as well as the testing results are presented and discussed. The measured shear stress–shear strain relations indicate a highly nonlinear behaviour and a distinct rate dependency. Two methods are investigated to derive according material characteristics: a classical engineering approach based on moduli and strengths and a data driven approach based on the curve progression. In all cases a Johnson–Cook based formulation is used to describe rate dependency. The analysis methodologies as well as the derived model parameters are described and discussed in detail. It is shown that a phenomenologically enhanced regression can be used to obtain material characteristics for a generalising constitutive model based on the data driven approach.</jats:p>"}],"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","publication":"Journal of Composites Science"}