Sub-voxel based finite element modelling of fibre-reinforced composites
Journal article, 2024

For fibre-reinforced composites, most of their mechanical properties is tied to the fibre scale. Thus, imaging-based characterisation demands resolving fibres to characterise these materials accurately. However, high resolutions limit the field of view and lead to lengthy acquisition times. Emerging non-destructive imaging technologies and algorithms now accurately provide fibre orientations without detecting individual fibres. Studies show that voxel sizes up to fifteen times the fibre diameter are feasible, still allowing accurate tensile modulus predictions. Our presented software incorporates sub-voxel fibre orientation distributions using ultra-low-resolution three-dimensional X-ray tomography data in a numerical model, providing an effective method for characterising these materials.

Tensor tomography

Small-angle X-ray scattering

Anisotropic eshelby inclusion

Material modelling

Mori-Tanaka

Fibre-reinforced composites

Author

Robert Auenhammer

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Carolyn Oddy

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Jisoo Kim

Korea Research Institute of Standards and Science (KRISS)

Lars Mikkelsen

Technical University of Denmark (DTU)

Software Impacts

26659638 (eISSN)

Vol. 21 100668

UTMOST - Modelling of biobased composites in crash applications

VINNOVA (2021-05062), 2022-05-02 -- 2024-12-31.

MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING).

European Commission (EC) (EC/H2020/765604), 2019-01-01 -- 2021-12-31.

Subject Categories

Accelerator Physics and Instrumentation

Composite Science and Engineering

Areas of Advance

Materials Science

DOI

10.1016/j.simpa.2024.100668

More information

Latest update

7/1/2024 3