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Monte Carlo Turbulence Simulation

  • G. H. Fichtl
  • Morris Perlmutter
  • Walter Frost

Abstract

The subject of this chapter is the simulation of turbulence with emphasis on atmospheric turbulence simulation. What does the word simulation mean? In the context of this chapter it is interpreted to be the generation of a random process that possesses prescribed statistical attributes of turbulence. The attributes consist of a restricted set of turbulence statistics determined either experimentally or theoretically (usually the former). If the simulation scheme yields random functions that upon statistical data reduction yield the prescribed attributes of atmospheric turbulence, we accept the simulation scheme as being a “good” one and it can thus be used to predict the behavior of turbulence and its interaction with other media, i.,e., airplanes, bridges, wind-generated water waves, etc., within the limitations imposed by the finite number of selected attributes and the underlying assumption involved. We shall refer to the simulation scheme that yields random functions that satisfy prescribed statistical attributes of turbulence as being a model. We use the adjective “Monte Carlo” with the word “simulation” in the sense of Kendall and Buckland, (1) namely, “to construct an artificial stochastic model of the mathematical (or rather physical*) process and the to perform sampling experiment upon it.”

Keywords

Power Spectrum Phase Angle Discrete Fourier Transform Fourier Spectrum Atmospheric Turbulence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1977

Authors and Affiliations

  • G. H. Fichtl
    • 1
  • Morris Perlmutter
    • 2
  • Walter Frost
    • 2
  1. 1.Marshall Space Flight CenterHuntsvilleUSA
  2. 2.The University of Tennessee Space InstituteTullahomaUSA

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