• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Composite Structures >Representative volume element for composites reinforced by spatially randomly distributed discontinuous fibers and its applications
【24h】

Representative volume element for composites reinforced by spatially randomly distributed discontinuous fibers and its applications

机译：空间随机分布的不连续纤维增强复合材料的代表性体积元及其应用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Combining with the random sequential absorption (RSA) algorithms, the method entitled Fiber Growth Method is presented for generating the representative volume element (RVE) with the spatially randomly distributed discontinuous fibers and with a relatively high fiber volume fraction (similar to 25%). The formulation of the Axes Distance Method for checking the overlapping of fibers in the RVEs is discussed. Within the framework of elasticity, the generated RVEs are analyzed to obtain the effective mechanical properties of composites reinforced by spatially randomly distributed discontinuous fibers using the numerical homogenization technique based on the finite element analysis (FEA). The validation is performed by comparing the Bulk modulus and Shear modulus predicted by the FEA against those obtained from the traditional equations based on the Halpin-Tsai estimation. FEA results show that due to the spatial random distribution of fibers, composites behaves homogeneously isotropic at the macroscopic scale. Bulk moduli and Shear moduli of composites increase with the fiber volume fraction increasing while the Poisson's ratios of composites decrease. (C) 2015 Elsevier Ltd. All rights reserved.
机译：结合随机顺序吸收（RSA）算法，提出了一种名为“纤维生长法”的方法，用于生成具有空间随机分布的不连续纤维并具有相对较高的纤维体积分数（约25％）的代表性体积元素（RVE）。讨论了用于检查RVE中纤维重叠的轴距方法的公式。在弹性框架内，使用基于有限元分析（FEA）的数值均化技术，对生成的RVE进行分析，以获得由空间随机分布的不连续纤维增强的复合材料的有效机械性能。通过将FEA预测的体积模量和剪切模量与基于Halpin-Tsai估计的传统方程式获得的体积模量和剪切模量进行比较，来进行验证。有限元分析结果表明，由于纤维的空间随机分布，复合材料在宏观尺度上表现出均匀的各向同性。复合材料的体积模量和剪切模量随纤维体积分数的增加而增加，而复合材料的泊松比则减小。 （C）2015 Elsevier Ltd.保留所有权利。

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