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 journalResearch articleContributedpeer-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.


Original languageEnglish
Article number318
Number of pages21
JournalJournal of Composites Science
Issue number10
Publication statusPublished - 17 Oct 2022

External IDs

Scopus 85140600210
Mendeley 0052610f-bd0e-3ea2-86dc-34e22ef6b7c8
WOS 000875125000001



  • Iosipescu shear testing, strain rate dependency, textile reinforced composite, thermoplastic matrices, through thickness properties