Analytical Solutions of Time-Fractional Navier–Stokes Equations Employing Homotopy Perturbation–Laplace Transform Method

The aim of this article is to introduce analytical and approximate techniques to obtain the solution of time-fractional Navier–Stokes equations. This proposed technique consists is coupling the homotopy perturbation method (HPM) and Laplace transform (LT). The time-fractional derivative used is the Caputo–Hadamard fractional derivative (CHFD). The effectiveness of this method is demonstrated and validated through two test problems. The results show that the proposed method is robust, efficient, and easy to implement for both linear and nonlinear problems in science and engineering. Additionally, its computational efficiency requires less computation compared to other schemes.

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Publication Details

Journal
Fractal and Fractional
Published
2024-12-31
DOI
https://doi.org/10.3390/fractalfract9010023
Citations
7
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.77
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article

Analytical Solutions of Time-Fractional Navier–Stokes Equations Employing Homotopy Perturbation–Laplace Transform Method

Hamza Mihoubi, Brahim Bouderah, Yacine Arioua, Awatif Muflih Alqahtani
7 citations
Fractal and Fractional
Fractional Differential Equations Solutions
2.77
article

Analytical Solutions of Time-Fractional Navier–Stokes Equations Employing Homotopy Perturbation–Laplace Transform Method

Hamza Mihoubi, Brahim Bouderah, Yacine Arioua, Awatif Muflih Alqahtani
article en
7 citations

Abstract

The aim of this article is to introduce analytical and approximate techniques to obtain the solution of time-fractional Navier–Stokes equations. This proposed technique consists is coupling the homotopy perturbation method (HPM) and Laplace transform (LT). The time-fractional derivative used is the Caputo–Hadamard fractional derivative (CHFD). The effectiveness of this method is demonstrated and validated through two test problems. The results show that the proposed method is robust, efficient, and easy to implement for both linear and nonlinear problems in science and engineering. Additionally, its computational efficiency requires less computation compared to other schemes.

Fractal and FractionalVol. 9(1)
Shaqra University (SA), University Mohamed Boudiaf of M'sila (DZ)
Openalex Percentile: Top 9%
Fractional Differential Equations Solutions
2.77
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