Numerical Simulation of Enhanced Fractional Rayleigh–Stokes Model for Heated Generalized Second-Grade Fluids Using RBF-PUM

The primary objective of this study is to demonstrate the effectiveness of the radial basis function partition of unity collocation method (RBF-PUM) for solving the fractional Rayleigh-Stokes problem in two dimensions. The time-fractional derivative is formulated in the Riemann–Liouville sense. Initially, the time-fractional derivatives in the governing equation are discretized, followed by the application of RBF-PUM to approximate the spatial derivatives. This method offers notable advantages, including local adaptivity and the ability to adjust node density within each partition. These features help mitigate the ill-conditioning commonly encountered in traditional RBF-based methods. The unconditional stability and convergence of the time-discrete scheme are established using the energy method. To validate the theoretical findings and illustrate the efficiency of RBF-PUM, two numerical experiments are conducted on regular and irregular 2D domains, alongside comparative numerical tests.

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Publication Details

Journal
International Journal of Computational Methods
Published
2026-01-29
DOI
https://doi.org/10.1142/s021987622650009x
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Numerical Simulation of Enhanced Fractional Rayleigh–Stokes Model for Heated Generalized Second-Grade Fluids Using RBF-PUM

Abdollah Dinmohammadi, Ahmad Jafrabadi
International Journal of Computational Methods
Fractional Differential Equations Solutions
article

Numerical Simulation of Enhanced Fractional Rayleigh–Stokes Model for Heated Generalized Second-Grade Fluids Using RBF-PUM

Abdollah Dinmohammadi, Ahmad Jafrabadi
article en

Abstract

The primary objective of this study is to demonstrate the effectiveness of the radial basis function partition of unity collocation method (RBF-PUM) for solving the fractional Rayleigh-Stokes problem in two dimensions. The time-fractional derivative is formulated in the Riemann–Liouville sense. Initially, the time-fractional derivatives in the governing equation are discretized, followed by the application of RBF-PUM to approximate the spatial derivatives. This method offers notable advantages, including local adaptivity and the ability to adjust node density within each partition. These features help mitigate the ill-conditioning commonly encountered in traditional RBF-based methods. The unconditional stability and convergence of the time-discrete scheme are established using the energy method. To validate the theoretical findings and illustrate the efficiency of RBF-PUM, two numerical experiments are conducted on regular and irregular 2D domains, alongside comparative numerical tests.

International Journal of Computational Methods
Buein Zahra Technical University (IR), Imam Khomeini International University (IR)
Affordable and clean energy
Openalex Percentile: Top 76%
Fractional Differential Equations Solutions
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