Radial boundary elements method, a new approach on using radial basis functions to solve partial differential equations, efficiently

• Published in: Applied mathematics and computation Vol. 493; p. 129252
• Main Authors: Hosseinzadeh, Hossein, Sedaghatjoo, Zeinab
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15.05.2025
• Subjects: Boundary elements method; Partial differential equations; Radial basis functions; Radial BEM; Singular integrals; Radial basis functions; 65D12; 32A55; Partial differential equations; 65N38; Radial BEM; Singular integrals; Boundary elements method
• ISSN: 0096-3003
• DOI: 10.1016/j.amc.2024.129252

Conventionally, piecewise polynomials have been used in the boundary element method (BEM) to approximate unknown boundary values. However, since infinitely smooth radial basis functions (RBFs) are more stable and accurate than the polynomials for high dimensional domains, this paper proposes approximating the unknown values using RBFs. This new formulation is called the radial BEM. To calculate the singular boundary integrals in the radial BEM, the authors propose a new distribution of boundary source points that removes the singularity from the integrals. This allows the boundary integrals to be precisely calculated using the standard Gaussian quadrature rule with 16 quadrature nodes. Several numerical examples are presented to evaluate the efficiency of the radial BEM compared to standard BEM and RBF collocation method for solving partial differential equations (PDEs). The analytical and numerical studies demonstrate that the radial BEM is a superior version of BEM that will significantly enhance the application of BEM and RBFs in solving PDEs. •This paper introduces the radial BEM, using radial basis functions for improved stability and accuracy.•A new distribution of boundary source points eliminates singularities in boundary integrals.•The radial BEM allows precise calculations using standard Gaussian quadrature with 16 nodes.•Numerical examples show radial BEM's efficiency over standard BEM and RBF collocation methods for PDEs.•Analytical and numerical studies confirm radial BEM enhances BEM and RBF applications in solving PDEs.