MESHFREE SHAPE FUNCTION AND DERIVATIVES IN ONE DIMENSION WITH ARBITRARY NODAL DISTRIBUTION: MATLAB PROGRAMMING

Authors

  • Jeetender Singh Kushawaha Research Scholar, Teerthankar Mahaveer University, Working in the Department of Mechanical Engineering, Indus Institute of Technology and Management, Kanpur, Pin-209202, India.
  • Bal Krishna Misra Director, Rama Institute of Engineering and Technology, Kanpur, Pin-209217, India.

Keywords:

Meshfree, weight function, shape function, MLS approximation, basis function, matlab

Abstract

The paper is intended for the beginners on meshfree methods, to present the detailed matlab programming aspects for the construction of the moving least square approximation shape function and their derivatives in onedimension, with arbitrary nodal distribution, using the MATLAB code provided at the appendix. The condition of not a number (NaN) during the execution of MATLAB program has been given the vital attention and elaborated by presenting the related plots of shape function and its derivatives. The program has been further extended to solve and compare the results of an elastostatics problem, using the exact and element free galerkin method so-lutions.

References

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Hutton, D.V. (2004). Fundamentals of finite element analysis. Tata Mc-Graw Hill.

Kushawaha, J.S. (2012). Meshfree shape function from moving least square. E J. Sci. Technol., 1(7):29-41.

Liu, G.R. (2003). Mesh Free Methods: Moving beyond the finite element methods. CRC Press, Boca Raton, USA.

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Published

2026-08-28

How to Cite

Singh Kushawaha, J., & Krishna Misra, B. (2026). MESHFREE SHAPE FUNCTION AND DERIVATIVES IN ONE DIMENSION WITH ARBITRARY NODAL DISTRIBUTION: MATLAB PROGRAMMING. Suranaree Journal of Science and Technology, 20(4), 297–308. retrieved from https://ph04.tci-thaijo.org/index.php/SUJST/article/view/13912

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Section

Research Article