Sub-voxel based finite element modelling of fibre-reinforced composites
Artikel i vetenskaplig tidskrift, 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


Fibre-reinforced composites


Robert Auenhammer

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Carolyn Oddy

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Jisoo Kim

Korea Research Institute of Standards and Science (KRISS)

Lars Mikkelsen

Danmarks Tekniske Universitet (DTU)

Software Impacts

26659638 (eISSN)

Vol. 21 100668

UTMOST - Modellering av biokompositer i krockanalys

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

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

Europeiska kommissionen (EU) (EC/H2020/765604), 2019-01-01 -- 2021-12-31.


Acceleratorfysik och instrumentering

Kompositmaterial och -teknik





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