A Coupled Localized RBF Meshless/Drbem Formulation for Accurate Modeling of Incompressible Fluid Flows

A Coupled Localized RBF Meshless/Drbem Formulation for Accurate Modeling of Incompressible Fluid Flows

Leonardo A. Bueno Eduardo A. Divo Alain J. Kassab

Department of Mechanical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

Department of Mechanical and Aerospace Engineering University of Central Florida, Orlando, FL, USA

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Velocity-pressure coupling schemes for the solution of incompressible fluid flow problems in Computational Fluid Dynamics (CFD) rely on the formulation of Poisson-like equations through projection methods. The solution of these Poisson-like equations represent the pressure correction and the velocity correction to ensure proper satisfaction of the conservation of mass equation at each step of a time-marching scheme or at each level of an iteration process. Inaccurate solutions of these Poisson-like equations result in meaningless instantaneous or intermediate approximations that do not represent the proper time-accurate behavior of the flow. The fact that these equations must be solved to convergence at every step of the overall solution process introduces a major bottleneck for the efficiency of the method. We present a formulation that achieves high levels of accuracy and efficiency by properly solving the Poisson equations at each step of the solution process by formulating a Localized RBF Collocation Meshless Method (LRC-MM) solution approach for the approxima- tion of the diffusive and convective derivatives while employing the same framework to implement a Dual-Reciprocity Boundary Element Method (DR-BEM) for the solution of the ensuing Poisson equations. The same boundary discretization and point distribution employed in the LRC-MM is used for the DR-BEM. The methodology is implemented and tested in the solution of a backward- facing step problem.


dual reciprocity boundary element method, incompressible fluid flows, meshless methods, radial basis functions


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