Onderzoeker
Yuriy Sinchuk
- Trefwoorden:finite element method, image-based modeling, Numerical similation, Image processing
- Disciplines:Continuümmechanica, Computer aided engineering, simulatie en design, Mechanica van vervormbare vaste stoffen, Ontwerptheorieën en -methoden niet elders geclassificeerd
Affiliaties
- Vakgroep Materialen, Textiel en Chemische Proceskunde (Departement)
Lid
Vanaf1 mei 2018 → 30 nov 2022
Publicaties
1 - 8 van 8
- A numerical multi-scale method for analyzing the rate-dependent and inelastic response of short fiber reinforced polymers : modeling framework and experimental validation(2024)
Auteurs: Hossein Ahmadi, Mohammad Hajikazemi, Daniele Finazzi, Yuriy Sinchuk, Wim Van Paepegem
- Study of self-heating and local strain rate in polyamide-6 and short fibre glass/polyamide-6 under tension through synchronised full-field strain and temperature measurements(2024)
Auteurs: Daniele Finazzi, Yuriy Sinchuk, Ruben Sevenois, Lode Daelemans, Karen De Clerck, Gilles Robert, Wim Van Paepegem
- A hierarchical multi-scale analytical approach for predicting the elastic behavior of short fiber reinforced polymers under triaxial and flexural loading conditions(2022)
Auteurs: Hossein Ahmadi, Mohammad Hajikazemi, Ehsan Rashidinejad, Yuriy Sinchuk, Wim Van Paepegem
- A multi-scale approach to include microstructural details in the analysis of short fibre composites under in-plane, out-of-plane and flexural loads(2022)
Auteurs: Hossein Ahmadi, Daniele Finazzi, Ehsan Rashidinejad, Yuriy Sinchuk, Ruben Sevenois, Mohammad Hajikazemi, Wim Van Paepegem
Aantal pagina's: 1 - A computationally efficient multi-scale strategy for predicting the elasto-plastic behaviour of short fiber composites(2022)
Auteurs: Hossein Ahmadi, Mohammad Hajikazemi, Ehsan Rashidinejad, Yuriy Sinchuk, Wim Van Paepegem
Pagina's: 452 - 458 - A computationally efficient multi-scale strategy for predicting the elasto-plastic behaviour of short fiber composites(2022)
Auteurs: Hossein Ahmadi, Mohammad Hajikazemi, Ehsan Rashidinejad, Yuriy Sinchuk, Wim Van Paepegem
Aantal pagina's: 1 - Geometrical and deep learning approaches for instance segmentation of CFRP fiber bundles in textile composites(2021)
Auteurs: Yuriy Sinchuk, Pierre Kibleur, Jan Aelterman, Matthieu Boone, Wim Van Paepegem
- Variational and deep learning segmentation of very-low-contrast X-ray computed tomography images of carbon/epoxy woven composites(2020)
Auteurs: Yuriy Sinchuk, Pierre Kibleur, Jan Aelterman, Matthieu Boone, Wim Van Paepegem