Rui Guo
PhD student in Micro- and Mesostructural Design of Composites
Composite materials
Kasteelpark Arenberg 44
3001 Leuven
Belgium
contact
Composite materials
Kasteelpark Arenberg 44
3001 Leuven
Belgium
contact
query=user:U0145984 year:[2004 TO 2024] &institution=lirias&from=1&step=20&sort=scdate
showing 1 to 8 of 8
Type
all | articles | presentations | conferences | chapters | other | reports | phd theses | book reviews | books | outreach | edited books | invited lectures
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Guo, Rui;Alves, Marco;Mehdikhani, Mahoor;Breite, Christian;Swolfs, Yentl;
2024.
Synthesising realistic 2D microstructures of unidirectional fibre-reinforced composites with a generative adversarial network.
Composites Science And Technology; 2024; Vol. 250
LIRIAS4147969
description
Publisher: Elsevier Applied Science Publishers
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journal-articleGuo, Rui;Stubbe, Johannes;Zhang, Yuhe;Schlepütz, Christian Matthias;Gomez, Camilo Rojas;Mehdikhani, Mahoor;Breite, Christian;Swolfs, Yentl;Villanueva-Perez, Pablo; 2023. Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites. Composites Science And Technology; 2023; Vol. 244; pp.LIRIAS4118855
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Publisher: Elsevier Applied Science Publishers
Published online -
presentationGuo, Rui;Stubbe, Johannes;Karamov, Radmir;Zhang, Yuhe;Schlepütz, Christian M;Rojas, Camilo;Mehdikhani, Mahoor;Lomov, Stepan V;Sergeichev, Ivan;Breite, Christian;Villanueva-Perez, Pablo;Swolfs, Yentl; 2023. Enhancing ultrafast in-situ synchrotron radiation computed tomography of composite failure by super-resolution.LIRIAS4123437
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presentationGuo, Rui;Breite, Christian;Stubbe, Johannes;Yuhe, Zhang;Gomez, Camilo Rojas;Mehdikhani, Mahoor;Villanueva-Perez, Pablo;Swolfs, Yentl; 2023. Individual fibre segmentation from time-resolved computed tomography images of fibre-reinforced composites using deep learning. COMPOSITES 2023; 2023LIRIAS4110650
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conferenceGuo, Rui;Alves, Marco;Mehdikhani, Mahoor;Breite, Christian;Swolfs, Yentl; 2022. Generation of realistic 2D transverse microstructures of unidirectional fiber-reinforced composites using a Generative Adversarial Network. Proceedings of the 20th European Conference on Composite Materials - Composites Meet Sustainability (Vol 1-6; 2022; Vol. 4; pp. 827 - 834 Publisher: EPFL Lausanne, Composite Construction Laboratory; Lausanne, SwitzerlandLIRIAS3971075
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journal-articleGuo, Rui;Mao, Lingtao;Xin, Zhenyang;Ding, Leilei; 2022. Experimental characterization and micro-modeling of transverse tension behavior for unidirectional glass fibre-reinforced composite. Composites Science And Technology; 2022; Vol. 222; pp.LIRIAS4057756
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Publisher: Elsevier Applied Science Publishers
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journal-articleMao, Lingtao;Liu, Haizhou;Zhu, Ying;Zhu, Ziyan;Guo, Rui;Chiang, Fu-pen; 2019. 3D Strain Mapping of Opaque Materials Using an Improved Digital Volumetric Speckle Photography Technique with X-Ray Microtomography. Applied Sciences-Basel; 2019; Vol. 9; iss. 7; pp.LIRIAS3480260
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Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
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journal-articleMao, L;Liu, H;Zhu, Z;Guo, R;Zhu, Y;Chiang, F; 2018. Digital volumetric speckle photography: a powerful experimental technique capable of quantifying interior deformation fields of composite materials. Multiscale and Multidisciplinary Modeling Experiments and Design; 2018; Vol. 1; pp. 181 - 195 keyboard_arrow_downLIRIAS3486158
description
Due to the heterogeneity at different length scales, composite materials have a complex mechanical behavior. While many studies have been devoted to understanding their failure mechanism, much remain unknown. One of the main reasons is the lack of an effective experimental tool to monitor, in situ, the internal stress/strain field as the deformation progresses leading to failure. By taking advantage of the volumetric imaging capability of an X-ray CT (computed tomography), we have developed a new tool called digital volumetric speckle photography, whereby we can map quantitatively the interior deformation of almost any opaque material. In this paper, we described in detail the theory of this technique and its application to mapping the internal deformation fields of two different types of composites: fiberglass-reinforced woven composite and sandwich composite made of a polymeric foam core and two fiberglass face sheets.
Publisher: Springer
Published