Advertisement

The Hypersonic Double Ellipse in Rarefied Flow Problem 6.4

  • William J. Feiereisen
Conference paper

Abstract

A particle method represents a flow by a large collection of computational molecules whose motions in space are tracked and whose collisions with solid boundaries and intermolecular collisions are modeled. This algorithm represents particle motion and collision modeling independently on each time step. Particle motion occurs in the present method through a network of cells that is overlaid on the computational domain. These cells serve two purposes. Particles that find themselves in a given cell are designated as candidates for possible collision with other particles in the same cell. The cell is also the volume over which the averaging process will occur when statistical information is extracted. It therefore represents the smallest spatial dimension over which flow field features may be resolved. Body fitted coordinates have been used in other particle methods to enhance spatial resolution1. The approach taken here, however, is to reduce the computational overhead by using simple cubic cells and to reapply this savings in the use of many of them. The use of cubic cells poses a problem in the definition of complex geometries that has been addressed by the development of an algorithm to define the relation of a body surface to the network of cells. This algorithm will be discussed in a subsequent section.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Applicability of the Direct Simulation Monte Carlo Method in Body-Fitted Coordinate System”, Shimada, T., Abe, T., Proceedings of the Sixteenth International Symposium on Rarified Gas Dynamics, July 10-16, 1988, Pasadena, California.Google Scholar
  2. 2.
    Direct Simulation of Gas Flows at the Molecular Level”, Bird, G. A., Communications in Applied Numerical Methods, Vol. 4, pp. 165–172, 1988.Google Scholar
  3. 3.
    A collision-selection rule for an efficient particle- simulation method for use on vector computers”, Baganoff, D., and McDonald, J. D., Physics of Fluids A2 (7) pp. 1248–1259, July 1990.Google Scholar
  4. 4.
    Vectorization of a Particle Simulation Method for Hypersonic Rarefied Flow”, McDonald, J. D. and Baganoff, D., AIAA-88-2735, AIAA Thermophysics, Plasmadynamics and Lasers Conference, June 27-29, 1988, San Antonio, Texas.Google Scholar
  5. 5.
    The Implications of Shuffle Algorithm Collision Mechanics for Particle Simulations”, Feiereisen, W. J., Proceedings of the 17th International Symposium on Rarefied Gas Dynamics, Aachen July 8 - 14, 1990.Google Scholar
  6. 6.
    Application of a Vectorized Particle Simulation Method in High- Speed Near- Continuum Flow”, Woronowicz, M. and McDonald, J., D., AIAA-89-1665, AIAA 24th Thermophysics Conference, June 12-14, 1989, Buffalo, New York.Google Scholar
  7. 7.
    Three Dimensional Discrete Particle Simulation of an AOTV”, Feiereisen, W. J., and McDonald J. D., AIAA-89- 1711, AIAA 24th Thermophysics Conference, June 12-14 1989, Buffalo, New York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • William J. Feiereisen
    • 1
  1. 1.NASA-Ames Research CenterUSA

Personalised recommendations