COMPOSITES SCIENCE AND ENGINEERING ›› 2024, Vol. 0 ›› Issue (1): 105-110.DOI: 10.19936/j.cnki.2096-8000.20240128.014

• APPLICATION RESEARCH • Previous Articles     Next Articles

Research on downsampling voxel technique in failure prediction of angle interlocking composites

LI Xiaohuan, GUO Jushang, ZHU Liping*, ZHU Mengdie, YANG Cheng   

  1. Nanjing Fiberglass Research & Design Institute Co., Ltd., Nanjing 210012, China
  • Received:2022-10-17 Online:2024-01-28 Published:2024-02-27

Abstract: In order to solve problems of large amount of calculation and low efficiency in failure prediction of angle interlock composites, 43 voxels in the original model are packed into one representative volume element by adopting the down-sampling voxel technique commonly used in image processing methods, thus greatly reducing the calculation amount and time. The full-voxel model is compared in terms of elastic property, damage state of composites and CPU time. Numerical results show that the model using down-sampling voxel technique is not only identical to the full-voxel model in stiffness prediction, but mimic the full-voxel model in damage state. At the same time, the CPU time is reduced by almost 85% in the model computation with tens of millions voxels, thus it is suitable for high-precision and high-speed prediction of engineering angle interlock composites.

Key words: downsampling voxel technique, angle interlock composite, strength prediction

CLC Number: