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April 8, 2026International Journal of Computational Methods0 citations

Implementing and Programming Meshfree Collocation with Fast Moving Least-Squares Reproducing Kernel for Elastostatics and Elastodynamics

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DJDhafer JadaanNKNahidh H. KurdiZAZaid Al-Azzawi

Key Points

  • The aim is to develop numerical solutions for elastostatics and elastodynamics using a meshfree collocation method.
  • Implemented meshfree collocation with fast-moving least-squares reproducing kernel.
  • Discretized the equilibrium differential equations and boundary conditions.
  • Conducted convergence studies for benchmark problems.
  • Applied the Newmark beta time-integration scheme for elastodynamics.
  • Performed stability studies to evaluate efficacy.
  • Succeeded in obtaining discrete solutions for one and two-dimensional benchmark problems.
  • Demonstrated the utility and efficacy through convergence and stability studies.
  • Showed that the method effectively handles elastodynamic problems.

Abstract

In the present paper, meshfree collocation with fast-moving least-squares reproducing kernel was implemented to write down and execute numerical solutions for some applications in elastostatics and elastodynamics. The spacial discretisation using meshfree collocation method, was carried out on the equilibrium differential equations of elastostatics and elastodynamics and the corresponding boundary conditions. The resulting discrete forms were solved for benchmark problems in the one and two-dimensional cases. In each case, a convergence study was conducted to ascertain the utility and efficacy of the developed solutions. For elastodynamics, the time domain, however, was discretised using the Newmark beta time-integration scheme. The latter combination was implemented to solve suitable benchmark problems in the one-dimensional and twodimensional cases. In each case, a stability study was conducted to demonstrate, again, the method’s efficacy in handling elastodynamic problems.

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Cite This Study

Jadaan et al. (2026) studied this question.

synapsesocial.com/papers/69d5f17974eaea4b11a7afcehttps://doi.org/10.1142/s0219876226500271
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