Auenhammer, Robert M.Jeppesen, NielsMikkelsen, Lars P.Dahl, Vedrana A.Blinzler, Brina J.Asp, Leif E.2022-04-262022-04-262022-06-16Auenhammer, R.M.; Jeppesen, N.; Mikkelsen, L.P.; Dahl, V.A.; Blinzler, B.J.; Asp, L.E.: Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions, Composites Science and Technology, V. 224, No. 109458, 2022. ISSN 0266-3538. https://doi.org/10.1016/j.compscitech.2022.109458.https://hdl.handle.net/1808/32714X-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.© 2022 The Authors. Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution 4.0 International License.http://creativecommons.org/licenses/by/4.0/Computational mechanicsComposite materialsX-ray computed tomographyStructure tensorFinite element modellingArticle10.1016/j.compscitech.2022.109458https://orcid.org/ 0000-0003-0630-2037openAccess