2018
DOI: 10.1142/s021987621850086x
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Extending the Meshless Local Petrov–Galerkin Method to Solve Stabilized Turbulent Fluid Flow Problems

Abstract: The aim of this paper is to extend the meshless local Petrov–Galerkin method to solve stabilized turbulent fluid flow problems. For the unsteady incompressible turbulent fluid flow problems, the Spalart–Allmaras model is used to stabilize the governing equations, and the meshless local Petrov–Galerkin method is extended based on the vorticity-stream function to solve the turbulent flow problems. In this study, the moving least squares scheme interpolates the field variables. The proposed method solves three st… Show more

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Cited by 13 publications
(3 citation statements)
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“…Furthermore, because most PDEs lack an exact solution, it has become crucial in many research areas to develop accurate and effective approximation techniques for calculating the numerical solution of differential equations. https://www.indjst.org/ Recent years have seen much work researching "Meshfree" methods (1,2) . The purpose of Meshfree methods is to eliminate the structure of the mesh and approximate the solution entirely using the nodes or data points as a scattered or quasi-random set of points rather than nodes of grid-based discretization.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, because most PDEs lack an exact solution, it has become crucial in many research areas to develop accurate and effective approximation techniques for calculating the numerical solution of differential equations. https://www.indjst.org/ Recent years have seen much work researching "Meshfree" methods (1,2) . The purpose of Meshfree methods is to eliminate the structure of the mesh and approximate the solution entirely using the nodes or data points as a scattered or quasi-random set of points rather than nodes of grid-based discretization.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Galerkin-based methods were developed to solve incompressible flows and shown good feasibilities combined with above mentioned stabilization methods, such as element free Galerkin method (Dehghan and Abbaszadeh, 2016), meshless local Petrov-Galerkin method (Sellountos et al, 2019;Sheikhi et al, 2019), smoothed finite element method (S-FEM) Jiang et al, 2018a) and so on. S-FEM is an unconventional Galerkin method and gains its growing popularity in computational mechanics community, which combined the advantages of gradient smoothing techniques in smoothed particle hydrodynamic (Chen et al, 2001) with standard FEM.…”
Section: Introductionmentioning
confidence: 99%
“…The MLPG has already been used to solve various types of boundary value problems (Amini et al, 2018;Han and Atluri, 2004;Hu and Sun, 2011;Kamranian et al, 2017;Liu et al, 2011;Sheikhi et al, 2019;Zhang et al, 2006). However, in developing those formulations, the authors broke the underlying consistency with the Moving Least-square assumptions, which, in our view, led to shape functions that have unduly complex forms, making their computation and their derivatives' computation quite costly (Liu, 2009;Mirzaei and Schaback, 2013).…”
Section: Introductionmentioning
confidence: 99%