4.6 Article

Approximate analytical solution of time-fractional vibration equation via reliable numerical algorithm

期刊

AIMS MATHEMATICS
卷 7, 期 11, 页码 19739-19757

出版社

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/math.20221082

关键词

homotopy perturbation method; Adomian decomposition method; Yang transform; fractional vibration equation; Caputo operator

资金

  1. Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Saudi Arabia
  2. [PNURSP2022R183]

向作者/读者索取更多资源

In this study, the solution of the time-fractional vibration equation for large membranes is found using effective techniques like the homotopy perturbation approach and the Adomian decomposition method via the Yang transform. Numerical experiments are conducted with various initial conditions, and the findings demonstrate the competence and reliability of this analytical framework. The suggested strategies for different orders of memory-dependent derivative reduce computation size and time, and are helpful for both small and large parameters.
With effective techniques like the homotopy perturbation approach and the Adomian decomposition method via the Yang transform, the time-fractional vibration equation's solution is found for large membranes. In Caputo's sense, the fractional derivative is taken. Numerical experiments with various initial conditions are carried out through a few test examples. The findings are described using various wave velocity values. The outcomes demonstrate the competence and reliability of this analytical framework. Figures are used to discuss the solution of the fractional vibration equation using the suggested strategies for different orders of memory-dependent derivative. The suggested approaches reduce computation size and time even when the accurate solution of a nonlinear differential equation is unknown. It is helpful for both small and large parameters. The results show that the suggested techniques are trustworthy, accurate, appealing and effective strategies.

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