A Computational Analysis of Nonlinear Fractional Coupled System of Boussinesq–Burger Equations with the Non-Singular Kernel

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Authors: Mashael M. AlBaidani, Rabab Alzahrani
Cited by: 2
References: 48

Abstract

The coupled nonlinear system of fractional Boussinesq–Burger equations that may be utilized to model the propagation of shallow water waves is solved in this study using a novel numerical approach. The fractional derivatives in Caputo–Fabrizio and Atangana–Baleanu manner are executed in the system under consideration. The exact solutions of the proposed nonlinear fractional system are shown in the classical scenario of fractional order at ß=1, whereas the approximate solutions are derived using the natural decomposition method. The series solution is generated such that it is simple to compute. Our results are compared with the exact results which clearly show that the suggested approach solutions quickly converge to the known accurate results. We acquire some analysis of the absolute error by comparing the approximate values with their corresponding precise solutions throughout the provided computations. Numerical and graphical simulations are used to confirm the usefulness of the suggested approach, and the outcomes are compared with well-known methods like the fractional decomposition method (FDM) and Laplace residual power series method (LRPSM). It is evident from the comparison that our approach offers better outcomes compared to other approaches. The results of the suggested method are very accurate and give helpful details on the real dynamics of the proposed system. The obtained outcomes ensure that the suggested approach is more effective and examines the highly nonlinear problems arising in engineering and science.

Fields of Study & Subjects

Nonlinear Waves and Solitons Fractional Differential Equations Solutions Differential Equations and Numerical Methods

Publication details

Journal / source
Axioms
Publisher
MDPI AG
Volume
15
Issue
3
Pages
172–172
Publication date
28 February 2026
Language
EN