Theoretical-numerical integrated multi-scale model for fast prediction of progressive failure in textile composites

Chao Zhang, Bowen Wu, Haoyuan Dang, Yinxiao Zhang, Jun Xing, Zhenqiang Zhao, Yulong Li

Research output: Contribution to journalArticlepeer-review

Abstract

Fast and accurate prediction of mechanical properties and failure behavior are essential for the design and optimization of textile composites. In this paper, a novel synergistic multi-scale modeling approach is proposed to predict the progressive failure of two-dimensional triaxially braided composites. A theoretical-based multi-scale model is integrated with finite element calculation in the user subroutine, VUMAT. The developed multi-scale model enables real-time two-way coupled interactions for mechanical response and damage behavior at meso- and macro-scales, and it shows great computational efficiency and generality because of the theoretical nature of the multi-scale computational framework. The proposed framework is utilized to predict the mechanical responses and failure behaviors of different types of specimens: straight-sided, tube, and notched specimens. The predictions show good agreement with both the meso-scale finite element simulations and the experimental results, while reducing the computational time by more than 10 times as compared to the meso-scale model. The theoretical-numerical integrated multi-scale model provides a fast and reliable solution for modeling the progressive failure behavior of textile composite structures under various loading conditions.

Original languageEnglish
Article number111341
JournalComposites Science and Technology
Volume271
DOIs
StatePublished - 20 Oct 2025

Keywords

  • Finite element analysis
  • Progressive failure
  • Synergistic multi-scale model
  • Textile composites

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