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
Research output: Contribution to journal › Research article › Contributed › peer-review
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 1/s 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.
|Number of pages||21|
|Journal||Journal of Composites Science|
|Publication status||Published - 17 Oct 2022|
ASJC Scopus subject areas
- Iosipescu shear testing, strain rate dependency, textile reinforced composite, thermoplastic matrices, through thickness properties