Stabilized MLPG-VF-based method with CBS scheme for laminar flow at high Reynolds and Rayleigh numbers

Author:

Enjilela Vali1,Salimi Davood2,Tavasoli Ali3,Lotfi Mohsen4

Affiliation:

1. Department of Mechanical Engineering, Faculty of Mechatronics, Karaj Branch, Islamic Azad University, Karaj, Iran

2. Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Tabriz, Tabriz, Iran

3. Department of Mechanical Engineering, Payame Noor University (PNU), Iran

4. Mechanical Engineering Department, Technical and Vocational University of Neyshabour, Neyshabour, Iran

Abstract

In the present work, the meshless local Petrov–Galerkin vorticity-stream function (MLPG-VF) method is extended to solve two-dimensional laminar fluid flow and heat transfer equations for high Reynolds and Rayleigh numbers. The characteristic-based split (CBS) scheme which uses unity test function is employed for discretization, and the moving least square (MLS) method is used for interpolation of the field variables. Four test cases are considered to evaluate the present algorithm, namely lid-driven cavity flow with Reynolds numbers up to and including [Formula: see text], flow over a backward-facing step at Reynolds number of [Formula: see text], natural convection in a square cavity for Rayleigh numbers up to and including [Formula: see text], and natural convection in a concentric square outer cylinder and circular inner cylinder annulus for Rayleigh numbers up to and including [Formula: see text]. In each case, the result obtained using the proposed algorithm is either compared with the results from the literatures or with those obtained using conventional numerical techniques. The present algorithm shows stable results at lower or equal computational cost compared to the other upwinding schemes usually employed in the MLPG method. Close agreements between the compared results as well as higher accuracy of the proposed method show the ability of this stabilized algorithm.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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