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Non-Graded Adaptive Grid Approaches to the Incompressible Navier-Stokes Equations

Frédéric Gibou1, Chohong Min2, Hector D. Ceniceros3

Mechanical Engineering Department & Computer Science Department, University of California, Santa Barbara,CA 93106.
Mathematics Department, University of California, SantaBarbara, CA 93106.
Mathematics Department, University of California, SantaBarbara, CA 93106.

Fluid Dynamics & Materials Processing 2007, 3(1), 37-48. https://doi.org/10.3970/fdmp.2007.003.037

Abstract

We describe two finite difference schemes for simulating incompressible flows on nonuniform meshes using quadtree/octree data structures. The first one uses a cell-centered Poisson solver that yields first-order accurate solutions, while producing symmetric linear systems. The second uses a node-based Poisson solver that produces second-order accurate solutions and second-order accurate gradients, while producing nonsymmetric linear systems as the basis for a second-order accurate Navier-Stokes solver. The grids considered can be non-graded, i.e. the difference of level between two adjacent cells can be arbitrary. In both cases semi-Lagrangian methods are used to update the intermediate fluid velocity in a standard projection framework. Numerical results are presented in two and three spatial dimensions.

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APA Style
Gibou, F., Min, C., Ceniceros, H.D. (2007). Non-graded adaptive grid approaches to the incompressible navier-stokes equations. Fluid Dynamics & Materials Processing, 3(1), 37-48. https://doi.org/10.3970/fdmp.2007.003.037
Vancouver Style
Gibou F, Min C, Ceniceros HD. Non-graded adaptive grid approaches to the incompressible navier-stokes equations. Fluid Dyn Mater Proc. 2007;3(1):37-48 https://doi.org/10.3970/fdmp.2007.003.037
IEEE Style
F. Gibou, C. Min, and H.D. Ceniceros, “Non-Graded Adaptive Grid Approaches to the Incompressible Navier-Stokes Equations,” Fluid Dyn. Mater. Proc., vol. 3, no. 1, pp. 37-48, 2007. https://doi.org/10.3970/fdmp.2007.003.037



cc Copyright © 2007 The Author(s). Published by Tech Science Press.
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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