2011
DOI: 10.1002/fld.2346
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Simulation of free‐surface waves in liquid sloshing using a domain‐type meshless method

Abstract: SUMMARYBased on the idea of avoiding over-fitting in artificial neural-network research using radial basis functions (RBFs), an improved RBF collocation method that reduces the number of RBFs without compromising the accuracy is proposed. This method overcomes the problem of dissatisfying governing equations on boundaries when the conventional RBF collocation method is used in solving partial differential equations. The Poisson and the Laplace equations are chosen to test the proposed method. Based on the meth… Show more

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Cited by 25 publications
(19 citation statements)
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“…In [40], it was reported that 'satisfying the boundary conditions and the governing equations simultaneously at the boundary can provide a more accurate solution to a given problem'. This coincides with what was reported in [21]. Improvements of the approximation for making the governing equation satisfied at the boundaries were also proposed in [40].…”
supporting
confidence: 89%
See 1 more Smart Citation
“…In [40], it was reported that 'satisfying the boundary conditions and the governing equations simultaneously at the boundary can provide a more accurate solution to a given problem'. This coincides with what was reported in [21]. Improvements of the approximation for making the governing equation satisfied at the boundaries were also proposed in [40].…”
supporting
confidence: 89%
“…Nevertheless, boundary-type RBF collocation methods are limited to problems governed by some specific equations, such as Laplace or Helmholtz equations. In [21], a modified domain-type RBF collocation method was proposed. With additional satisfaction to the governing equation on boundary collocation points, the gradient of the velocity potential at any free surface node, which represents the velocity vector at that specific node, was accurately estimated.…”
mentioning
confidence: 99%
“…This method has been further upgraded to symmetric collocation (Fasshauer, 1996), modified collocation (Šarler, 2005), and indirect collocation (Mai-Duy and Tran-Cong, 2003). Applications of the method can be found for fluid dynamic problems (Mai-Duy and Tran-Cong, 2001), numerical wave tanks (Huang et al, 2014;Tsung et al, 2013;Wu and Chang, 2011), natural convections in porous media (Šarler et al, 2004), solid-liquid phase change problems (Kovacevic et al, 2003), wave problems (Dehghan and Shokri, 2009), stochastic problems (Dehghan and Mohammadi, 2014) and others. The advantage of the GRBFCM is that its effectiveness in dealing with arbitrary and complex domain.…”
Section: Introductionmentioning
confidence: 98%
“…The numerical results demonstrated that the non-linear effects become obvious as the wave steepness increases, which is in good agreements with experimental observations and physical researches. Wu and Chang Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/enganabound [7] adopted the RBFCM, one kind of meshless methods, and the leapfrog scheme to analyze the sloshing problems in both of twoand three-dimensional numerical tanks. In addition, Chen et al [9] used the MCTM combined with the group-preserving scheme to analyze the two-dimensional sloshing problems and good stability of their approach is observed in the provided comparisons.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, numerical simulation is a good candidate in comparison with mathematical means and experimental study when academic research and engineering design related to sloshing phenomenon are considered. In the past decades, many numerical schemes [1][2][3][4][5][6][7][8][9][10] have been proposed to accurately and efficiently model the non-breaking waves in the sloshing problem, such as the finite difference method (FDM) [3], the finite element method (FEM) [4,5], the boundary element method [6], the radial basis function collocation method (RBFCM) [7], the Trefftz method [8], the modified collocation Trefftz method (MCTM) [9], the meshless local Petrov-Galerkin (MLPG) method [10], etc. For example, Frandsen [3] proposed a FDM scheme, combined with a modified sigma-transformation, to simulate non-linear sloshing wave motion in a two-dimensional tank.…”
Section: Introductionmentioning
confidence: 99%