...
首页> 外文期刊>Wood and Fiber Science >Numerical simulations of transverse compression and densification in wood.
【24h】

Numerical simulations of transverse compression and densification in wood.

机译:木材中横向压缩和致密化的数值模拟。

获取原文
获取原文并翻译 | 示例

摘要

Numerical modelling, such as finite element analysis (FEA), of complex structures and complex materials is a useful tool for stress analysis and for failure modelling. Although FEA of wood as an anisotropic continuum is used, numerical modelling of realistic wood structures, including details of wood anatomy and variations in structure within specimens, has been beyond the capabilities of FEA and other methods. In contrast, the recently derived material point method (MPM) has features that make it amenable to analysis of realistic wood structures. To demonstrate the capabilities of MPM, simulations were done for wood (Pinus taeda, Liriodendron tulipifera and Pinus ponderosa) transverse compression. Some advantages of MPM are that it is easy to discretize micrographs of wood specimens into a numerical model, it can handle large deformations, it can model elastic-plastic cell-wall properties, and it automatically accounts for contact between cell walls. MPM simulations were run for softwood and hardwood loaded in either radial or tangential compression. The simulations reproduced many features of wood compression, gave insight into effects of wood anatomy on compression, and may be the first numerical calculations of realistic wood structures extended through to full densification without numerical difficulties..
机译:复杂结构和复杂材料的数值建模,例如有限元分析(FEA),是进行应力分析和破坏建模的有用工具。尽管使用了FEA(木材)作为各向异性连续体,但实际木材结构的数值建模(包括木材解剖结构的详细信息和样本内结构的变化)已经超出了FEA和其他方法的能力。相比之下,最近派生的材料点方法(MPM)具有使其可以用于分析实际木结构的功能。为了证明MPM的功能,对木材(Pinus taeda,Liriodendron tulipifera和Pinus pokerosa)横向压缩进行了模拟。 MPM的一些优点是易于将木材标本的显微图像离散化为数值模型,可以处理较大的变形,可以对弹塑性孔壁特性进行建模,并且可以自动考虑孔壁之间的接触。对以径向或切向压缩方式加载的软木和硬木进行MPM模拟。该模拟重现了木材压缩的许多特征,深入了解了木材解剖结构对压缩的影响,并且可能是对实际木材结构的第一个数值计算,一直延伸到完全致密化而没有数值困难。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号