Meso-structural optimization design of multifarious and complex fabric rubber composite structure

Yifeng Dong, Yutong Fu*, Daining Fang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Fabric clothes are widely used to toughen the fabric rubber composite structure due to their strong designability and flexibility. The diversity and complexity of the meso-structural forms of fabric clothes bring great challenges to the efficient design of meso-structures of fabric rubber composite structure. The current studies are difficult to design the fabric rubber composite structure with complex structural forms whatever at macroscale or mesoscale. In this paper, the multiscale optimization design method of fabric rubber composite structure is established. Initially, the anisotropic theoretical models of the textile fabric rubber composite and reticulated fabric rubber composite are proposed based on meso-structural forms of the textile fabric and reticulated fabric. Then, the multiscale optimization framework and optimization process of fabric rubber composite structure, as well as the calculation methods of constraints and optimization objectives are established. Finally, the optimal meso-structures of textile fabric and reticulated fabric obtained by three optimization algorithms are compared. The results show that the difference of optimal meso-structures obtained by the three optimization algorithms is mainly reflected in the reticulated fabric. It is expected that the multiscale optimization design method has important scientific guiding significance for the performance improvement of fabric rubber composite structure.

Original languageEnglish
Article number112672
JournalInternational Journal of Solids and Structures
Volume290
DOIs
Publication statusPublished - 15 Mar 2024

Keywords

  • Complex meso-structural form
  • Fabric rubber composite structure
  • Multiscale modeling
  • Multiscale optimization framework
  • Non-linear behavior

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