2010
DOI: 10.1007/s11434-010-3177-5
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A novel numerical method for infinite domain potential problems

Abstract: The infinite domain potential problems arise in many branches of scientific and engineering fields, which by now still pose a great challenge to scientific computing community. This study proposes a novel meshless singular boundary method (SBM) to solve infinite domain potential problems. The SBM is mathematically simple, easy-to-program, meshless and integration-free. To guarantee the uniqueness of numerical solutions, this article adds a constant term into the SBM approximate representation. The efficiency a… Show more

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Cited by 29 publications
(10 citation statements)
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“…By now the two techniques have been developed to evaluate the origin intensity factors. The first one is called the inverse interpolation technique (IIT) [7,8,[56][57][58], which numerically evaluates the origin intensity factors. The second approach is to derive the analytical formula for calculating the origin intensity factors [59][60][61][62][63][64][65].…”
Section: The Singular Boundary Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…By now the two techniques have been developed to evaluate the origin intensity factors. The first one is called the inverse interpolation technique (IIT) [7,8,[56][57][58], which numerically evaluates the origin intensity factors. The second approach is to derive the analytical formula for calculating the origin intensity factors [59][60][61][62][63][64][65].…”
Section: The Singular Boundary Methodsmentioning
confidence: 99%
“…The above SBM formulation (4.35) has successfully been applied to interior and exterior Laplace [7,8,56], Helmholtz [67], and elastostatic [57] problems.…”
Section: þmentioning
confidence: 99%
“…This section will introduce a simple numerical technique, called the inverse interpolation technique (IIT) [3,6], to determine the source intensity factors for Laplace equations. Then we can use the relationships (4) to determine the source intensity factors for Helmholtz equations.…”
Section: Inverse Interpolation Techniquementioning
confidence: 99%
“…This SBM formulation has been successfully applied to interior and exterior Laplace [2][3][4], Poisson [5], Helmholtz [6] and elastostatic [7] problems. Later, Gu et al [8] introduced the desingularization of the subtracting and adding-back technique and proposed an improved singular boundary method (ISBM) for interior and exterior potential problems.…”
Section: Introductionmentioning
confidence: 99%
“…Some impressive contributions have been reported and applied, such as the development on the radial basis functions (RBF) by Wu [6], the least square collocation meshless method (LSC) by Zhang et al [7], the hybrid boundary node method (HBNM) by Zhang et al [8], the boundary knot method (BKM) and the singular boundary method (SBM) by Chen et al [9,10], the complex variable moving least-square approximation method (CVMLS) by Cheng et al [11], the application research on MLPG method by Long et al [12], the Galerkin boundary node method (GBN) by Li et al [13], and so on.…”
mentioning
confidence: 99%