Conference proceedings article
Parameter identification for constitutive models of innovative textile composite materials using digital image correlation



Publication Details
Authors:
Hofmann, J.; von Boyneburgk, C.; Tunger, S.; Heim, H.; Kuhl, D.
Editor:
Gesellschaft für angewandte Mathematik und Mechanik
Publication year:
2019
Pages range:
1-2
Book title:
Proceedings in Applied Mathematics and Mechanics

Abstract

This contribution focuses on an innovative composite material consisting of textile layers made from continuous wooden fibers embedded in a thermoplastic matrix. A finite element simulation of potential use-cases is planned to support the development process and to study the suitability of the material in an architectural context. The simulation is based on a constitutive model assuming homogenous orthotropic elastic behavior and will be expanded to include multiscale modeling in future research. The material parameters used in such models can often be determined based on a small number of local measurements during experiments like tensile tests, which assume classical one dimensional load scenaria at least in parts of the specimen. However, this is not sufficient for non-homogeneous materials, especially when dealing with non-isotropic materials in offaxis configurations and the need for full-field measurements like digital image correlation (DIC) arises. Experimental results of uniaxial on- and off-axis tensile tests using DIC are presented and used in the identification of the material parameters of the given model. Results of simulations and experiments are compared and the suitability of the material model is discussed.



Authors/Editors

Last updated on 2019-04-12 at 11:19