Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
Artikel i vetenskaplig tidskrift, 2022

X-ray computed tomography scans can provide detailed information about the state of the material after manufacture and in service. X-ray computed tomography aided engineering (XAE) was recently introduced as an automated process to transfer 3D image data to finite element models. The implementation of a structure tensor code for material orientation analysis in combination with a newly developed integration point-wise fibre orientation mapping allows an easy applicable, computationally cheap, fast, and accurate model set-up. The robustness of the proposed approach is demonstrated on a non-crimp fabric glass fibre reinforced composite for a low resolution case with a voxel size of 64 μm corresponding to more than three times the fibre diameter. Even though 99.8% of the original image data is removed, the simulated elastic modulus of the considered non-crimp fabric composite is only underestimated by 4.7% compared to the simulation result based on the original high resolution scan.

Finite element modelling

Structure tensor

X-ray computed tomography

Computational mechanics

Composite materials


Robert Auenhammer

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Niels Jeppesen

Danmarks Tekniske Universitet (DTU)

Lars Mikkelsen

Danmarks Tekniske Universitet (DTU)

Vedrana Andersen Dahl

Danmarks Tekniske Universitet (DTU)

Brina Blinzler

University of Kansas

Leif Asp

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Composites Science and Technology

0266-3538 (ISSN)

Vol. 224 16 June 2022 109458

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

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




Datavetenskap (datalogi)

Kompositmaterial och -teknik



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