TY - JOUR
T1 - A refined modelling approach for plain-woven composites based on virtual fiber embedding technique with weaving process simulation
AU - Wang, Rongqiao
AU - Li, Xin
AU - Liu, Xi
AU - Liu, Yu
AU - Hu, Dianyin
AU - Pan, Jinchao
AU - Zhang, Xiaojie
AU - Wang, Jier
AU - Li, Jiaqiang
N1 - Publisher Copyright:
© The Author(s) 2026
PY - 2026
Y1 - 2026
N2 - A refined modelling approach was developed to capture the real fiber bundle morphology and microstructural characteristics of plain-woven SiCf/SiC composites. Using the virtual fiber embedding (VFE) technique, a single-cell model was constructed, and an energy-weighted stiffness correction method for nonlinear conditions was proposed, reducing the stress calculation error due to stiffness redundancy from 23.85% to 9.22%. To account for fiber damage caused by fiber bundle morphology changes, simulations of the plain weaving and compaction processes were performed. By integrating microfiber material direction and fiber volume fraction data from these simulations, a refined single-cell model was established. Compared to idealized models, the VFE-based model, which accounts for the effects of the weaving process, reduces the fatigue life prediction error from 43.96% to 20.30%.
AB - A refined modelling approach was developed to capture the real fiber bundle morphology and microstructural characteristics of plain-woven SiCf/SiC composites. Using the virtual fiber embedding (VFE) technique, a single-cell model was constructed, and an energy-weighted stiffness correction method for nonlinear conditions was proposed, reducing the stress calculation error due to stiffness redundancy from 23.85% to 9.22%. To account for fiber damage caused by fiber bundle morphology changes, simulations of the plain weaving and compaction processes were performed. By integrating microfiber material direction and fiber volume fraction data from these simulations, a refined single-cell model was established. Compared to idealized models, the VFE-based model, which accounts for the effects of the weaving process, reduces the fatigue life prediction error from 43.96% to 20.30%.
KW - SiC/SiC composites
KW - fatigue life prediction
KW - stiffness correction
KW - virtual fiber embedding
KW - weaving process
UR - https://www.scopus.com/pages/publications/105029165674
U2 - 10.1177/00219983261416101
DO - 10.1177/00219983261416101
M3 - 文章
AN - SCOPUS:105029165674
SN - 0021-9983
JO - Journal of Composite Materials
JF - Journal of Composite Materials
ER -