A novel modeling method for the mechanical behavior of 3D woven fabrics considering yarn distortion

Mengran Li, Kai Liu*, Jingran Ge, Junbo Xie, Zengfei Liu, Binbin Zhang, Jian Huang, Jun Liang*

*Corresponding author for this work

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Abstract

Three-dimensional woven fabrics feature complex meso-architectures, such as yarn torsion and cross-section variation. This paper aims to developing a novel numerical modeling method to simulate the mechanical behaviors of reinforcements considering realistic yarn geometries. The initial as-woven unit cell is first simulated by the digital element analysis. A reconstruction algorithm is then used to generate mesoscale high-fidelity solid geometric models from digital chains. Fiber directional orientation within torsional yarns of the high-fidelity model is described by a digital-chain tracing method and analyzed in detail. Furthermore, based on the high-fidelity model, a hyper-elastic constitutive model is employed for the numerical analysis of the mechanical properties of reinforcements. The finite element analysis (FEA) of transverse compression, tensile deformation and in-plane shearing deformation combined with in-situ Micro-CT experiments are carried out to verify the method. The proposed method agrees well with experimental tests. Defining fiber orientations of torsional yarns using the digital-chain tracing method leads to more accurate simulation results. The developed numerical method can be extended for the composites design and structure optimization due to its high-fidelity simulation capabilities.

Original languageEnglish
Article number109691
JournalComposites Science and Technology
Volume230
DOIs
Publication statusPublished - 10 Nov 2022

Keywords

  • Fabrics
  • Fiber directional orientation
  • Finite element analysis (FEA)
  • Material modeling
  • Mechanical properties

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Li, M., Liu, K., Ge, J., Xie, J., Liu, Z., Zhang, B., Huang, J., & Liang, J. (2022). A novel modeling method for the mechanical behavior of 3D woven fabrics considering yarn distortion. Composites Science and Technology, 230, Article 109691. https://doi.org/10.1016/j.compscitech.2022.109691