Solving the BBMB Equation in Shallow Water Waves via Space-Time MQ-RBF Collocation

This study introduces a novel single-layer meshless method, the space-time collocation method based on multiquadric-radial basis functions (MQ-RBF), for solving the Benjamin-Bona-Mahony-Burgers (BBMB) equation. By reconstructing the time variable as a space variable, this method establishes a combined space-time structure that can eliminate the two-step computational process required in traditional grid methods. By introducing shape parameter-optimized MQ-RBF, high-precision discretization of the nonlinear, dispersive, and dissipative terms in the BBMB equation is achieved. The numerical experiment section validates the effectiveness of the proposed method through three benchmark examples. This method shows significant advantages in computational efficiency, providing a new numerical tool for engineering applications in fields such as shallow water wave dynamics.

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.070791
Citations
1
Primary Topic
Nonlinear Waves and Solitons
Type
article
Field-Weighted Citation Impact
1.32
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article

Solving the BBMB Equation in Shallow Water Waves via Space-Time MQ-RBF Collocation

Fuzhang Wang, Quanfu Lou, Yu Tian, Li‐Juan Yu et al.
1 citations
Computer Modeling in Engineering & Sciences
Nonlinear Waves and Solitons
1.32
article

Solving the BBMB Equation in Shallow Water Waves via Space-Time MQ-RBF Collocation

Fuzhang Wang, Quanfu Lou, Yu Tian, Li‐Juan Yu, Hongwei Ma
article en
1 citations

Abstract

This study introduces a novel single-layer meshless method, the space-time collocation method based on multiquadric-radial basis functions (MQ-RBF), for solving the Benjamin-Bona-Mahony-Burgers (BBMB) equation. By reconstructing the time variable as a space variable, this method establishes a combined space-time structure that can eliminate the two-step computational process required in traditional grid methods. By introducing shape parameter-optimized MQ-RBF, high-precision discretization of the nonlinear, dispersive, and dissipative terms in the BBMB equation is achieved. The numerical experiment section validates the effectiveness of the proposed method through three benchmark examples. This method shows significant advantages in computational efficiency, providing a new numerical tool for engineering applications in fields such as shallow water wave dynamics.

Computer Modeling in Engineering & SciencesVol. 144(3)
Openalex Percentile: Top 16%
Nonlinear Waves and Solitons
1.32
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Solving the BBMB Equation in Shallow Water Waves via Space-Time MQ-RBF Collocation — Fuzhang Wang, Quanfu Lou, et al. · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS