二维耦合热弹性动力学问题的无网格自然邻接点Petrov-Galerkin法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP301.6

基金项目:

国家自然科学基金(21466012);江西省教育厅项目(KJLD14041)


Meshless natural neighbour Petrov-Galerkin method for two-dimensional dynamic coupled thermoelasticity problem
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了更有效地求解二维耦合热弹性动力学问题,对无网格自然邻接点Petrov-Galerkin法在此类问题中的应用进行了研究,并发展了相应的计算方法。该方法建立试函数时可以只依赖于一组离散的节点,有效地避免了复杂的网格划分和网格畸变的影响。相对于常用的移动最小二乘而言,自然邻接点插值不涉及复杂的矩阵求逆运算,更不需要任何人为参数。由于运动方程和瞬态热传导方程相互影响,这些方程必须联立求解。采用Newmark法求解空间离散后得到的二阶常微分方程组,进而可直接获得温度场和位移场的数值结果。

    Abstract:

    In order to solve the two-dimensional dynamic coupled thermoelasticity problem more effectively, a novel numerical method based on the meshless natural neighbour Petrov-Galerkin method is proposed in this study. Only a group of scattered nodes are required in this method, to construct approximation function and therefore complex meshing and disadvantage of mesh distortion are effectively eliminated. In comparison with the moving least-squares (MLS) approximation used widely in meshless methods, the natural neighbour interpolation requires no complex matrix inversions and no artificial intermediate parameters. The equations of motion and transient heat conduction equations of the coupled thermoelasticity interaction on each other and therefore these equations must be solved simultaneously. After spatially discretization, a series of second-order ordinary differential algebraic equations is obtained, which is solved by the Newmark method to obtain the numerical temperature and displacement field directly.

    参考文献
    相似文献
    引证文献
引用本文

李庆华,陈莘莘.二维耦合热弹性动力学问题的无网格自然邻接点Petrov-Galerkin法[J].土木与环境工程学报(中英文),2019,41(5):109-114. Li Qinghua, Chen Shenshen. Meshless natural neighbour Petrov-Galerkin method for two-dimensional dynamic coupled thermoelasticity problem[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2019,41(5):109-114.10.11835/j. issn.2096-6717.2019.101

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2018-12-25
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-10-25
  • 出版日期: