2009
DOI: 10.1243/14750902jeme151
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A compact RBF-FD based meshless method for the incompressible Navier—Stokes equations

Abstract: Meshless methods for solving fluid and fluid-structure problems have become a promising alternative to the finite volume and finite element methods. In this paper, a mesh-free computational method based on radial basis functions in a finite difference mode (RBF-FD) has been developed for the incompressible Navier—Stokes (NS) equations in stream function vorticity form. This compact RBF-FD formulation generates sparse coefficient matrices, and hence advancing solutions will in time be of comparatively lower cos… Show more

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Cited by 30 publications
(30 citation statements)
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“…As a result, maximum number of nodes and their distribution within the domain 17 is limited by ill-conditioning effect. The limitation was later overcome by the use of local RBFs which 18 compromise on spectral accuracy in bargain of better conditioned problems with improved accuracy 19 [3,55,48,41]. This is done by localizing the influence domain around each particle.…”
Section: Comment-1mentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, maximum number of nodes and their distribution within the domain 17 is limited by ill-conditioning effect. The limitation was later overcome by the use of local RBFs which 18 compromise on spectral accuracy in bargain of better conditioned problems with improved accuracy 19 [3,55,48,41]. This is done by localizing the influence domain around each particle.…”
Section: Comment-1mentioning
confidence: 99%
“…As a result, sparse 20 and well conditioned coefficient matrices are generated irrespective of total number of data points 21 and their density within the domain. RBF in Finite Difference mode [55,48,41,60] and RBF based 22 differential quadrature methods [3] are the two famous local RBF techniques which are used for the 23 solution of Navier Stokes equations in meshfree domain. However, like other meshfree methods, RBF 24 based methods also suffer from high computational cost.…”
Section: Comment-1mentioning
confidence: 99%
“…Subsequently, RBF-FD weights ( ( ) ( ) ) are calculated , corresponding to all neighbouring points. RBF-FD approximation of differential operator of a field variable then is given by weighted linear sum of values of same variable at the neighbouring nodes [20]:…”
Section: Problem Formulationmentioning
confidence: 99%
“…Recently, the LRBFCM [30][31][32] and MAPS [33] have been used for numerical solutions of two-dimensional flow fields. Sanyasiraju and Chandhini [30] used the LRBFCM and the fractional step algorithm to solve the two-dimensional primary-variables formulation of the Navier-Stokes equations.…”
Section: Introductionmentioning
confidence: 99%
“…Bourantas et al [31] adopted the LRBFCM to simulate steady-state equations of the velocity-vorticity formulation; hence, only the steady solutions for forced, natural and mixed convection are efficiently acquired. The streamfunction-vorticity formulation is analyzed by the LRBFCM [32] and the flow fields in a lid-driven square cavity are compared well with other numerical results. Since the definition of streamfunction [1,2] usually appears only in two-dimensional problems, their approach might be difficult to be extended to three-dimensional problems.…”
Section: Introductionmentioning
confidence: 99%