# Discretization of the transient term

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Integrating the above equation over a control volume yields <br> | Integrating the above equation over a control volume yields <br> | ||

<math> \int_{V} \frac {\partial (\rho \phi)} {\partial t} dV= \int_{V} l(\phi) dV</math> <br> | <math> \int_{V} \frac {\partial (\rho \phi)} {\partial t} dV= \int_{V} l(\phi) dV</math> <br> | ||

- | After the spatial dicretization has been performed using the techniques | + | After the spatial dicretization has been performed using the techniques described in the other sections, we obtain <br> |

<math> \frac {\partial (\rho \phi)} {\partial t} V= L(\phi)</math> <br> | <math> \frac {\partial (\rho \phi)} {\partial t} V= L(\phi)</math> <br> | ||

- | where L denotes the spatial discretization operator, and V denotes the volume. <br> | + | where L denotes the spatial discretization operator (the discretized diffusion, convection, and source terms), and V denotes the volume. <br> |

+ | At this point, we make an important observation. The temporal discretization of the transient term (Left Hand Side, LHS) need not be the same as that of the discretized diffusion, convection and source terms (Right Hand Side, RHS). Each term can be treated differently yield different accuracies. | ||

+ | We are now ready to perform the transient discretization. In the framework of the finite volume method, There are various methods that can be used to perform this task, the most popular of which are the Euler explicit, Euler implicit, Crank-Nicolson, and the fully implicit schemes. The temporal discretization of the diffusion, convection, and source terms will be presented first followed by the methods used for the transient term. | ||

+ | |||

+ | ==Temporal discretization of the diffusion, convection, and source terms== | ||

+ | For a given control volume P, The RHS of the general discretized equation (<math>L(\phi)</math>) contains terms involving values at P and its neighboring control volumes. The temporal discretization is carried out through an integration over time of the RHS where each unknown is involved in the process. We assume the values at a given control volume are known at an initial time ''t'' and we are interested in obtaining the values at time <math> t + \Delta t \,</math>. This method states that the time integral of a given variable is equal to a weighted average between existing and future values. This is written as <br> | ||

+ | <math> \int_{t}^{t+\Delta t} \phi \,dt = \Big [ f \phi^{t+\Delta t} + (1-f)\phi^t \Big ] \Delta t </math> <br> | ||

+ | where f is a weighing factor between 0 and 1. The following remarks hold | ||

+ | * f = 0 results in the fully explicit scheme | ||

+ | * f = 1 results in the fully implicit scheme | ||

+ | * f = 0.5 results in the Crank-Nicolson scheme | ||

+ | <br> | ||

+ | This integration holds true for any discretized variable at any control volume. When applied to the full discretized diffusion, convection, and source terms, we have the following <br> | ||

+ | <math> \int_{t}^{t+\Delta t} L(\phi) \, dt = \Big [ f L_{\phi}^{t+\Delta t} + (1-f)L_{\phi}^{t} \Big ] \Delta t </math> <br> | ||

+ | where we have placed phi as a subscript for clarity. | ||

(to be continued) | (to be continued) |

## Revision as of 03:01, 10 December 2005

# Introduction

To account for transient effects, the governing equations must be discretized in time. As it turns out, the temporal discretization is slightly easier to deal with than that for the spatial effects. Since the governing equation is hyperbolic/parabolic in time, the solution at time **t** depends upon its history and not on its future. Transient effects are usually dealt with by using a time stepping procedure, with an initial condition provided. The time dimension is divided into a set of discrete time steps, each of size . The solution algorithm therefore marches forward in time, computing a solution at each time step. The spatial discretization for the time-dependent equations is identical to the steady-state case.

Temporal discretization involves the integration of every term in the differential equations over the time step . The integration of transient effects takes several forms, each yielding a different accuracy. For simplicity, we express the time dependent transport of a scalar as

where the function is an operator that incorporates all of the non-transient terms, namely: diffusion, convection, and source terms.

Integrating the above equation over a control volume yields

After the spatial dicretization has been performed using the techniques described in the other sections, we obtain

where L denotes the spatial discretization operator (the discretized diffusion, convection, and source terms), and V denotes the volume.

At this point, we make an important observation. The temporal discretization of the transient term (Left Hand Side, LHS) need not be the same as that of the discretized diffusion, convection and source terms (Right Hand Side, RHS). Each term can be treated differently yield different accuracies.

We are now ready to perform the transient discretization. In the framework of the finite volume method, There are various methods that can be used to perform this task, the most popular of which are the Euler explicit, Euler implicit, Crank-Nicolson, and the fully implicit schemes. The temporal discretization of the diffusion, convection, and source terms will be presented first followed by the methods used for the transient term.

## Temporal discretization of the diffusion, convection, and source terms

For a given control volume P, The RHS of the general discretized equation () contains terms involving values at P and its neighboring control volumes. The temporal discretization is carried out through an integration over time of the RHS where each unknown is involved in the process. We assume the values at a given control volume are known at an initial time *t* and we are interested in obtaining the values at time . This method states that the time integral of a given variable is equal to a weighted average between existing and future values. This is written as

where f is a weighing factor between 0 and 1. The following remarks hold

- f = 0 results in the fully explicit scheme
- f = 1 results in the fully implicit scheme
- f = 0.5 results in the Crank-Nicolson scheme

This integration holds true for any discretized variable at any control volume. When applied to the full discretized diffusion, convection, and source terms, we have the following

where we have placed phi as a subscript for clarity.
(to be continued)