Finite volume method
The finite volume method is a method for representing and evaluating
partial differential equations as algebraic equations. Similar to the finite difference method, values are calculated at discrete places on a meshed geometry. "Finite volume" refers to the small volume surrounding each node point on a mesh. In the finite volume method, volume integrals in a partial differential equation that contain a divergenceterm are converted to surface integrals, using the divergence theorem. These terms are then evaluated as fluxes at the surfaces of each finite volume. Because the flux entering a given volume is identical to that leaving the adjacent volume, these methods are conservative. Another advantage of the finite volume method is that it is easily formulated to allow for unstructured meshes. The method is used in many computational fluid dynamicspackages.
Consider a simple 1D
advectionproblem defined by the following partial differential equation
Here, represents the state variable and represents the
fluxor flow of . Conventionally, positive represents flow to the right whilst negative represents flow to the left. If we assume that equation (1) represents a flowing medium of constant area, we can sub-divide the spatial domain, , into "finite volumes" or "cells" with cell centres indexed as . For a particular cell, , we can define the "volume average" value of at time and , as
and at time as,
where and represent locations of the upstream and downstream faces or edges respectively of the cell.
Integrating equation (1) in time, we have:
To obtain the volume average of at time , we integrate over the cell volume, and divide the result by , i.e.
We assume that is well behaved and that we can reverse the order of integration. Also, recall that flow is normal to the unit area of the cell. Now, since in one dimension , we can apply the
divergence theoremand substitute for the volume integral of the divergencewith the values of at the cell edges and of the finite volume as follows:
where and .
We can therefore derive a "semi-discrete" numerical scheme for the above problem with cell centres indexed as , and with cell edge fluxes indexed as , by differentiating (6) with respect to time to obtain:
where values for the edge fluxes, , can be reconstructed by interpolation or extrapolation of the cell averages. It should be noted that equation (7) is "exact" for the volume averages; i.e., no approximations have been made during its derivation.
General hyperbolic problem
We can also consider a general hyperbolic problem, represented by the following PDE,
Here, represents a vector of states and represents the corresponding
fluxvector. Again we can sub-divide the spatial domain into finite volumes or cells. For a particular cell, , we take the volume integral over the total volume of the cell, , which gives,
On integrating the first term to get the "volume average" and applying the "divergence theorem" to the second, this yields
where represents the total surface area of the cell. So, finally, we are able to present the general result equivalent to (7), i.e.
Again, values for the edge fluxes can be reconstructed by interpolation or extrapolation of the cell averages. The actual numerical scheme will depend upon problem geometry and mesh construction. MUSCL reconstruction is often used in
high resolution schemes where shocks or discontinuities are present in the solution.
Finite volume schemes are conservative as cell averages change through the edge fluxes. In other words, "one cell's loss is another cell's gain"!
Sergei K. Godunov
Total variation diminishing
Finite element method
* [http://www.imtek.uni-freiburg.de/simulation/mathematica/IMSweb/imsTOC/Lectures%20and%20Tips/Simulation%20I/FVM_introDocu.html The Finite Volume Method (FVM) - An introduction] by Oliver Rübenkönig of
Albert Ludwigs University of Freiburg, available under the GFDL.
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