An improved meshless method based on the dimension splitting moving least-squares method for elasticity problems

被引:3
|
作者
Sun, Fengxin [1 ]
Wang, Jufeng [2 ]
Wei, Qi [2 ]
Wu, Yong [2 ]
机构
[1] Ningbo Univ Technol, Fac Sci, Ningbo 315016, Peoples R China
[2] Ningbo Univ Finance & Econ, Coll Finance & Informat, Ningbo 315175, Peoples R China
基金
中国国家自然科学基金;
关键词
Meshless method; Moving least squares approximation; Dimension-splitting moving least squares  method; Improved element-free Galerkin method; Elasticity problems; FREE GALERKIN METHOD; KERNEL PARTICLE METHOD; EFG METHOD; EQUATION; MECHANICS;
D O I
10.1016/j.enganabound.2023.02.025
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An improved element-free Galerkin method (IEFGM) is proposed in this paper to solve the two-dimensional elasticity problems. In the IEFGM, the dimension-splitting moving least squares (DS-MLS) method is used to construct the trial functions, and the Galerkin variational weak form coupled with the integral coordinate transformation is applied to derive the final discrete equations of the elastic problems. The DS-MLS method is developed from the dimensional splitting method and the moving least squares (MLS) approximation. Since the shape function of the DS-MLS method is derived independently from the direction of dimensional splitting and the splitting subdivision surface, the dimension and complexity of matrix operations are greatly reduced in solving the shape function of the MLS approximation, thereby improving the calculation efficiency. Some typical examples are discussed to show the effectiveness of the improved meshless method in this paper. From the numerical results, because the DS-MLS method reduces the dimensionality when solving the shape functions, the improved meshless method in this paper can consume less CPU time and acquire a higher accuracy solution than the EFG method.
引用
收藏
页码:374 / 384
页数:11
相关论文
共 50 条
  • [31] METHOD OF LEAST-SQUARES
    JEFFERYS, WH
    ASTRONOMICAL JOURNAL, 1980, 85 (02): : 177 - 181
  • [32] A SPLITTING LEAST-SQUARES MIXED FINITE ELEMENT METHOD FOR ELLIPTIC OPTIMAL CONTROL PROBLEMS
    Fu, Hongfei
    Rui, Hongxing
    Guo, Hui
    Zhang, Jiansong
    Hou, Jian
    INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING, 2016, 13 (04) : 610 - 626
  • [33] A local meshless method based on moving least squares and local radial basis functions
    Wang, Baiyu
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2015, 50 : 395 - 401
  • [34] Solution of problems of the nonlinear least-squares method with nonlinear constraints based on the linearization method
    Korkhin, A.S.
    Journal of Automation and Information Sciences, 1999, 31 (06): : 110 - 120
  • [35] Gradient reconstruction of unstructured meshes based on improved least-squares method
    Xiao Y.
    Ming P.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2020, 41 (12): : 1819 - 1826
  • [36] A Novel Aeromagnetic Compensation Method Based on the Improved Recursive Least-Squares
    Zhao, Guanyi
    Shao, Yuqing
    Han, Qi
    Tong, Xiaojun
    ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL 2, 2017, 64 : 171 - 178
  • [37] An improved least-squares method for INSAR phase unwrapping
    Bao, MQ
    Kwoh, LK
    Singh, K
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 62 - 64
  • [38] Generalized least-squares in dimension expansion method for nonstationary processes
    Qin, Shanshan
    Sun, Bin
    Wu, Yuehua
    Fu, Yuejiao
    ENVIRONMETRICS, 2021, 32 (07)
  • [39] THE LSQR METHOD FOR SOLVING TENSOR LEAST-SQUARES PROBLEMS
    Bentbib, Abdeslem H.
    Khouia, Asmaa
    Sadok, Hassane
    ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS, 2022, 55 : 92 - 111
  • [40] ELIMINATION METHOD FOR SOLUTION OF LINEAR LEAST-SQUARES PROBLEMS
    CLINE, AK
    SIAM JOURNAL ON NUMERICAL ANALYSIS, 1973, 10 (02) : 283 - 289