张桂勇

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教授

博士生导师

硕士生导师

主要任职:船舶工程学院院长、党委副书记

其他任职:船舶工程学院院长

性别:男

毕业院校:新加坡国立大学

学位:博士

所在单位:船舶工程学院

学科:船舶与海洋结构物设计制造

办公地点:船舶工程学院(船池楼)313房间

联系方式:0411-84706985

电子邮箱:gyzhang@dlut.edu.cn

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A cell-based smoothed point interpolation method (CS-PIM) for 2D thermoelastic problems

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论文类型:期刊论文

发表时间:2017-01-01

发表刊物:INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW

收录刊物:SCIE、EI

卷号:27

期号:6

页面范围:1249-1265

ISSN号:0961-5539

关键字:Numerical method; Cell-based gradient smoothing; Point interpolation method (PIM); Thermoelastic problems

摘要:Purpose - Due to the strong reliance on element quality, there exist some inherent shortcomings of the traditional finite element method (FEM). The model of FEM behaves overly stiff, and the solutions of automated generated linear elements are generally of poor accuracy about especially gradient results. The proposed cell-based smoothed point interpolation method (CS-PIM) aims to improve the results accuracy of the thermoelastic problems via properly softening the overly-stiff stiffness.
   Design/methodology/approach - This novel approach is based on the newly developed G space and weakened weak (w(2)) formulation, and of which shape functions are created using the point interpolation method and the cell-based gradient smoothing operation is conducted based on the linear triangular background cells.
   Findings - Owing to the property of softened stiffness, the present method can generally achieve better accuracy and higher convergence results (especially for the temperature gradient and thermal stress solutions) than the FEM does by using the simplest linear triangular background cells, which has been examined by extensive numerical studies.
   Practical implications - The CS-PIM is capable of producing more accurate results of temperature gradients as well as thermal stresses with the automated generated and unstructured background cells, which make it a better candidate for solving practical thermoelastic problems.
   Originality/value - It is the first time that the novel CS-PIM was further developed for solving thermoelastic problems, which shows its tremendous potential for practical implications.