Analysis of 2D Burger's equation using numerical and semi-analytic techniques

The effect of advective and diffusive components are studied using the 2D Burgers’ equation. The diffusive term is influenced by the Reynolds number. Spatial discretization is performed using radial basis collocation, while the temporal direction is discretized using $4^{th}$ Runge-Kutta method. To analyze the error behavior, the closed-form solution of 2D Burgers’ equation is derived analytically using a generalized bivariate homotopy perturbation approach. A comprehensive discussion and comparison of both numerical and semi-analytical solutions are presented in terms of absolute error, as well as $\\Vert e \\Vert_{\\infty}$ and $\\Vert e \\Vert_{2}$ error norms. The effect of Reynolds number on the diffusion component is illustrated graphically. Algorithm for both numerical and analytical techniques have been implemented in MATLAB R2023.

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Publication Details

Journal
DOAJ (DOAJ: Directory of Open Access Journals)
Published
2026-09-01
DOI
https://doi.org/10.22067/ijnao.2026.97170.1815
Primary Topic
Numerical methods in engineering
Type
article
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article

Analysis of 2D Burger's equation using numerical and semi-analytic techniques

Amandeep Kaur, Atul Pasrija, Shelly Arora
DOAJ (DOAJ: Directory of Open Access Journals)
Numerical methods in engineering
article

Analysis of 2D Burger's equation using numerical and semi-analytic techniques

Amandeep Kaur, Atul Pasrija, Shelly Arora
article en

Abstract

The effect of advective and diffusive components are studied using the 2D Burgers’ equation. The diffusive term is influenced by the Reynolds number. Spatial discretization is performed using radial basis collocation, while the temporal direction is discretized using $4^{th}$ Runge-Kutta method. To analyze the error behavior, the closed-form solution of 2D Burgers’ equation is derived analytically using a generalized bivariate homotopy perturbation approach. A comprehensive discussion and comparison of both numerical and semi-analytical solutions are presented in terms of absolute error, as well as $\Vert e \Vert_{\infty}$ and $\Vert e \Vert_{2}$ error norms. The effect of Reynolds number on the diffusion component is illustrated graphically. Algorithm for both numerical and analytical techniques have been implemented in MATLAB R2023.

DOAJ (DOAJ: Directory of Open Access Journals)
Openalex Percentile: Top 15%
Numerical methods in engineering
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