复合材料科学与工程 ›› 2024, Vol. 0 ›› Issue (1): 105-110.DOI: 10.19936/j.cnki.2096-8000.20240128.014

• 应用研究 • 上一篇    下一篇

下采样体素网格技术在角联锁复合材料损伤失效预测中的应用研究

李小欢, 郭居上, 朱立平*, 朱梦蝶, 杨成   

  1. 南京玻璃纤维研究设计院有限公司,南京 210012
  • 收稿日期:2022-10-17 出版日期:2024-01-28 发布日期:2024-02-27
  • 通讯作者: 朱立平(1984—),男,博士,高级工程师,主要从事高性能纤维及复合材料工艺过程及性能仿真方面的研究,zhuliping@fiberglasschina.com。
  • 作者简介:李小欢(1992—),女,硕士,工程师,主要从事纤维增强复合材料用预制体编织方面的研究。

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

摘要: 为解决角联锁复合材料在损伤失效预测时计算量大、计算效率低的问题,采用图像处理方法中常用的下采样体素网格技术,将原体素网格模型中的43个网格打包成一个代表性体元进行计算,从而大幅度降低计算量和计算时间。从复合材料的弹性性能、损伤状态和计算时间三个方面与全网格模型进行比较,数值试验结果表明,采用下采样体素网格技术的模型与全网格模型不仅在刚度预测中完全一致,且损伤状态也相仿,同时具有千万级网格模型的CPU时间降低约85%,适用于工程用角联锁结构的高精度、高速率计算。

关键词: 下采样体素网格技术, 角联锁复合材料, 强度预测

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

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