---
_id: '34256'
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>'
article_number: '318'
author:
- first_name: Johannes
  full_name: Gerritzen, Johannes
  last_name: Gerritzen
- first_name: Andreas
  full_name: Hornig, Andreas
  last_name: Hornig
- first_name: Benjamin
  full_name: Gröger, Benjamin
  last_name: Gröger
- first_name: Maik
  full_name: Gude, Maik
  last_name: Gude
citation:
  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>'
  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>'
  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} }'
  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>.'
  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>.'
  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>.'
  short: J. Gerritzen, A. Hornig, B. Gröger, M. Gude, Journal of Composites Science
    6 (2022).
date_created: 2022-12-06T20:42:38Z
date_updated: 2023-01-02T11:06:15Z
department:
- _id: '630'
doi: 10.3390/jcs6100318
intvolume: '         6'
issue: '10'
keyword:
- Engineering (miscellaneous)
- Ceramics and Composites
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/2504-477X/6/10/318
oa: '1'
project:
- _id: '130'
  grant_number: '418701707'
  name: 'TRR 285: TRR 285'
- _id: '131'
  name: 'TRR 285 - A: TRR 285 - Project Area A'
- _id: '137'
  name: 'TRR 285 – A03: TRR 285 - Subproject A03'
publication: Journal of Composites Science
publication_identifier:
  issn:
  - 2504-477X
publication_status: published
publisher: MDPI AG
status: public
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'
type: journal_article
user_id: '14931'
volume: 6
year: '2022'
...