...
首页> 外文期刊>Computer Modeling in Engineering & Sciences >Estimation and Validation of Elastic Modulus of Carbon Nanotubes Using Nano-Scale Tensile and Vibrational Analysis
【24h】

Estimation and Validation of Elastic Modulus of Carbon Nanotubes Using Nano-Scale Tensile and Vibrational Analysis

机译:碳纳米管的弹性模量的纳米尺度拉伸和振动分析估计和验证

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the atomistic-continuum mechanics method (ACM) is applied for carbon nanotube modeling. The atomistic-continuum mechanics is based on the transformation of chemical bonds between atoms in molecular mechanics into appropriate elements in finite element method and continuum mechanics. Spring elements are treated as chemical bonds between carbon atoms in carbon nanotube, whose force-displacement function is determined by the Reactive Empirical Bond Order (REBO) potential model. The advantages and unique feature of ACM method is same analytical model can be used for both tensile and vibration analyses, and most importantly, there are no prior inputs such as Young's Modulus, cross-section area and density will be needed in the frequency analysis of ACM approach. As a result, not only Young's modulus could be obtained but also modal analysis could be achieved with affordable computational time by personal computers. The validity of the results is demonstrated through comparisons to numerical and experimental results provided by other papers. In addition, based on classic structural dynamics, the feasibility of the ACM method has been verified by comparing the results of Young's modulus analysis and modal analysis.
机译:本文将原子连续力学方法(ACM)用于碳纳米管建模。原子连续谱力学是基于将分子力学中原子之间的化学键转换为有限元法和连续谱力学中的适当元素。弹簧元件被视为碳纳米管中碳原子之间的化学键,其力-位移功能由反应性经验键序(REBO)势模型确定。 ACM方法的优点和独特之处在于,相同的分析模型可用于拉伸和振动分析,最重要的是,在进行频率分析时,不需要诸如杨氏模量,横截面积和密度之类的先验输入。 ACM方法。结果,不仅可以得到杨氏模量,而且可以用个人计算机以可承受的计算时间来完成模态分析。通过与其他论文提供的数值和实验结果进行比较,证明了结果的有效性。此外,基于经典的结构动力学,通过比较杨氏模量分析和模态分析的结果,验证了ACM方法的可行性。

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