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Adaptively Refined Hybrid FDM-RBF Meshless Scheme with Applications to Laminar and Turbulent Viscous Fluid Flows

S. Gerace1, K. Erhart1, E. Divo1,2, A. Kassab1

Mechanical, Materials, and Aerospace Engineering, University of Central Florida, Orlando, Florida, 32816-2450, USA
School of Engineering Technology, Daytona State College, 1770 Technology Blvd., Daytona Beach, FL, 32117, USA

Computer Modeling in Engineering & Sciences 2011, 81(1), 35-68.


The focus of this work is to demonstrate a novel approach to true CFD automation based on an adaptive Cartesian point distribution process coupled with a Meshless flow solution algorithm. As Meshless method solutions require only an underlying nodal distribution, this approach works well even for complex flow geometries with non-aligned domain boundaries. Through the addition of a so-called shadow layer of body-fitted nodes, application of boundary conditions is simplified considerably, eliminating the stair-casing issues of typical Cartesian-based techniques. This paper describes the approach taken to automatically generate the Meshless nodal distribution, along with the details of an automatic local refinement process. Also, as the primary interest of this automated CFD solver is for aerospace applications, this work includes the development of standard two-equation turbulence models for use in this Meshless based solver. Finally, results are shown for several relevant compressible, turbulent flows example configurations, demonstrating the benefits of the automatic refinement as well as the quality of the Meshless solutions in high-speed flow applications.


Cite This Article

Gerace, S., Erhart, K., Divo, E., Kassab, A. (2011). Adaptively Refined Hybrid FDM-RBF Meshless Scheme with Applications to Laminar and Turbulent Viscous Fluid Flows. CMES-Computer Modeling in Engineering & Sciences, 81(1), 35–68.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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