Numerical methods in fluid mechanics: Difference between revisions

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==Discretization==
The central process in CFD is the process of [[discretization]], i.e. the process of taking differential equations with an infinite number of [[degrees of freedom]], and reducing it to a system of finite degrees of freedom. Hence, instead of determining the solution everywhere and for all times, we will be satisfied with its calculation at a finite number of locations and at specified time intervals. The [[partial differential equations]] are then reduced to a system of algebraic equations that can be solved on a computer. Errors creep in during the discretization process. The nature and characteristics of the errors must be controlled in order to ensure that:
<ul><li>* we are solving the correct equations (consistency property)</li>
<li>* that the error can be decreased as we increase the number of degrees of freedom (stability and convergence). </li></ul>
Once these two criteria are established, the power of computing machines can be leveraged to solve the problem in a numerically reliable fashion. Various discretization schemes have been developed to cope with a variety of issues. The most notable for our purposes are: [[finite difference methods]], finite volume methods, [[finite element methods]], and [[spectral methods]].
 
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==References==
 
<ol>
<li># Zalesak, S. T., 2005. The design of flux-corrected transport algorithms for structured grids. In: Kuzmin, D., L¨ohner, R., Turek, S. (Eds.), Flux-Corrected Transport. Springer
<li># Zalesak, S. T., 1979. Fully multidimensional flux-corrected transport algorithms for fluids. Journal of Computational Physics.</li>
grids. In: Kuzmin, D., L¨ohner, R., Turek, S. (Eds.), Flux-Corrected Transport.
<li># Leonard, B. P., MacVean, M. K., Lock, A. P., 1995. The flux integral method fofor [[Convection–diffusion equation|multi-dimensional convection]] and diffusion. Applied Mathematical Modelling.</li>
Springer</li>
<li># Shchepetkin, A. F., McWilliams, J. C., 1998. Quasi-monotone advection schemes based on explicit locally adaptive [[dissipation]]. Montlhy Weather Review
<li>Zalesak, S. T., 1979. Fully multidimensional flux-corrected transport algorithms for fluids.
# Jiang, C.-S., Shu, C.-W., 1996. Efficient implementation of weighed eno schemes. Journal of Computational Physics.</li>
<li># Finlayson, B. A., 1972. The Method of Weighed Residuals and Variational Principles. Academic Press.
<li>Leonard, B. P., MacVean, M. K., Lock, A. P., 1995. The flux integral method fo [[Convection–diffusion equation|multi-dimensional convection]] and diffusion. Applied Mathematical Modelling.</li>
<li># Durran, D. R., 1999. Numerical Methods for [[Wave function|Wave Equations]] in Geophysical Fluid Dynamics. Springer, New York.
<li>Shchepetkin, A. F., McWilliams, J. C., 1998. Quasi-monotone advection schemes based
<li># Dukowicz, J. K., 1995. Mesh effects for rossby waves. Journal of Computational Physics</li>
on explicit locally adaptive [[dissipation]]. Montlhy Weather Review</li>
<li># Canuto, C., Hussaini, M. Y., Quarteroni, A., Zang, T. A., 1988. Spectral Methods in Fluid Dynamics. Springer Series in Computational Physics. Springer-Verlag, New York.
<li>Jiang, C.-S., Shu, C.-W., 1996. Efficient implementation of weighed eno schemes. Journal
<li># Butcher, J. C., 1987. The Numerical Analysis of [[Ordinary Differential Equations]]. John Wiley and Sons Inc., NY.
of Computational Physics</li>
<li># Boris, J. P., Book, D. L., 1973. Flux corrected transport, i: Shasta, a fluid transport algorithm that works. Journal of Computational Physics
<li>Finlayson, B. A., 1972. The Method of Weighed Residuals and Variational Principles.
Academic Press.</li>
<li>Durran, D. R., 1999. Numerical Methods for [[Wave function|Wave Equations]] in Geophysical Fluid Dynamics.
Springer, New York.</li>
<li>Dukowicz, J. K., 1995. Mesh effects for rossby waves. Journal of Computational Physics</li>
<li>Canuto, C., Hussaini, M. Y., Quarteroni, A., Zang, T. A., 1988. Spectral Methods in
Fluid Dynamics. Springer Series in Computational Physics. Springer-Verlag, New York.</li>
<li>Butcher, J. C., 1987. The Numerical Analysis of [[Ordinary Differential Equations]]. John
Wiley and Sons Inc., NY.</li>
<li>Boris, J. P., Book, D. L., 1973. Flux corrected transport, i: Shasta, a fluid transport
algorithm that works. Journal of Computational Physics</li>
</ol>
 
[[Category:Computational fluid dynamics]]