A meshless collocation method based on the differential reproducing kernel interpolation

被引:0
|
作者
Yung-Ming Wang
Syuan-Mu Chen
Chih-Ping Wu
机构
[1] National Cheng Kung University,Department of Civil Engineering
来源
Computational Mechanics | 2010年 / 45卷
关键词
Meshless methods; Collocation; Reproducing kernels; Interpolation; Kronecker delta properties; Elastic;
D O I
暂无
中图分类号
学科分类号
摘要
A differential reproducing kernel (DRK) interpolation-based collocation method is developed for solving partial differential equations governing a certain physical problem. The novelty of this method is that we construct a set of differential reproducing conditions to determine the shape functions of derivatives of the DRK interpolation function, without directly differentiating the DRK interpolation function. In addition, the shape function of the DRK interpolation function at each sampling node is separated into a primitive function processing Kronecker delta properties and an enrichment function constituting reproducing conditions, so that the nodal interpolation properties are satisfied. A point collocation method based on the present DRK interpolation is developed for the analysis of one-dimensional bar problems, two-dimensional potential problems, and plane problems of elastic solids. It is shown that the present DRK interpolation-based collocation method is indeed a truly meshless approach, with excellent accuracy and fast convergence rate.
引用
收藏
页码:585 / 606
页数:21
相关论文
共 50 条
  • [41] On a collocation point of view to reproducing kernel methods
    Ferreira, José Claudinei
    Computational and Applied Mathematics, 2021, 40 (06)
  • [42] On a collocation point of view to reproducing kernel methods
    José Claudinei Ferreira
    Computational and Applied Mathematics, 2021, 40
  • [43] On a collocation point of view to reproducing kernel methods
    Ferreira, Jose Claudinei
    COMPUTATIONAL & APPLIED MATHEMATICS, 2021, 40 (06):
  • [44] Study on point collocated meshless method based on reproducing kernel ideas for one-dimensional problems
    Shi, Baojun
    Yuan, Mingwu
    Sun, Shuli
    Chen, Bin
    Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 2004, 21 (01): : 97 - 103
  • [45] REPRODUCING KERNEL METHOD FOR INTEGRO-DIFFERENTIAL EQUATION WITH ABEL KERNEL
    Yang, Li-Hong
    Shen, Ji-Hong
    Wang, Yue
    ADVANCES IN DIFFERENTIAL EQUATIONS AND CONTROL PROCESSES, 2011, 8 (02): : 67 - 81
  • [46] Kernel-Based Meshless Collocation Methods for Solving Coupled Bulk-Surface Partial Differential Equations
    Chen, Meng
    Ling, Leevan
    JOURNAL OF SCIENTIFIC COMPUTING, 2019, 81 (01) : 375 - 391
  • [47] Reproducing Kernel Method for Fractional Riccati Differential Equations
    Li, X. Y.
    Wu, B. Y.
    Wang, R. T.
    ABSTRACT AND APPLIED ANALYSIS, 2014,
  • [48] Solving Inverse Laplace Equation with Singularity by Weighted Reproducing Kernel Collocation Method
    Yang, Judy P.
    Guan, Pai-Chen
    Fan, Chia-Ming
    INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2017, 9 (05)
  • [49] Weighted Reproducing Kernel Collocation Method and Error Analysis for Inverse Cauchy Problems
    Yang, Judy P.
    Guan, Pai-Chen
    Fan, Chia-Ming
    INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2016, 8 (03)
  • [50] A novel form of reproducing kernel interpolation method with applications to nonlinear mechanics
    Shaw, Arnit
    Roy, D.
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2007, 19 (01): : 69 - 98