An artificial-viscosity finite-difference scheme is introduced for stabilizing the solutions of advectiondiffusion equations. Although only the linear one-dimensional case is discussed, the method is easily susceptible to generalization. Some theory and comparisons with other well-known schemes are
Second-order characteristic methods for advection–diffusion equations and comparison to other schemes
✍ Scribed by Mohamed Al-Lawatia; Robert C. Sharpley; Hong Wang
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 873 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0309-1708
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✦ Synopsis
We develop two characteristic methods for the solution of the linear advection diusion equations which use a second order Runge±Kutta approximation of the characteristics within the framework of the Eulerian±Lagrangian localized adjoint method. These methods naturally incorporate all three types of boundary conditions in their formulations, are fully mass conservative, and generate regularly structured systems which are symmetric and positive de®nite for most combinations of the boundary conditions. Extensive numerical experiments are presented which compare the performance of these two Runge±Kutta methods to many other well perceived and widely used methods which include many Galerkin methods and high resolution methods from ¯uid dynamics.
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RL constants in eq. (6), dimensionless Reynolds number, dimensionless u superficial velocity, m s-' Wi Weissenberg number, dimensionless Greek letters ,' shear rate, s-l E voidage of static mixer assembly, dimensionless T shear stress, Pa =11 -\*22 primary normal stress difference, Pa P density of l