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dc.contributor.authorAuenhammer, Robert M.
dc.contributor.authorJeppesen, Niels
dc.contributor.authorMikkelsen, Lars P.
dc.contributor.authorDahl, Vedrana A.
dc.contributor.authorBlinzler, Brina J.
dc.contributor.authorAsp, Leif E.
dc.date.accessioned2022-04-26T15:54:14Z
dc.date.available2022-04-26T15:54:14Z
dc.date.issued2022-06-16
dc.identifier.citationAuenhammer, 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.en_US
dc.identifier.urihttp://hdl.handle.net/1808/32714
dc.description.abstractX-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.en_US
dc.publisherElsevieren_US
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectComputational mechanicsen_US
dc.subjectComposite materialsen_US
dc.subjectX-ray computed tomographyen_US
dc.subjectStructure tensoren_US
dc.subjectFinite element modellingen_US
dc.titleRobust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutionsen_US
dc.typeArticleen_US
kusw.kuauthorBlinzler, Brina J.
kusw.kudepartmentAerospace Engineeringen_US
dc.identifier.doi10.1016/j.compscitech.2022.109458en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0003-0630-2037en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2022 The Authors. Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as: © 2022 The Authors. Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution 4.0 International License.