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Proceedings Paper

Time-varying stochastic turbulence model
Author(s): Curtis R. Vogel
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Paper Abstract

In this paper we present a new stochastic model for time-varying turbulence. The model can be viewed as a linearization of the Navier-Stokes equation, with deterministic drift and diffusion terms, plus an additional stochastic driving term. Fixed-time realizations of the model have Kolmogorov statistics, but the diffusion and stochastic driving terms yield "boiling" behavior that is different from the Taylor frozen flow model.

Paper Details

Date Published: 28 June 2006
PDF: 5 pages
Proc. SPIE 6272, Advances in Adaptive Optics II, 62722Z (28 June 2006); doi: 10.1117/12.669862
Show Author Affiliations
Curtis R. Vogel, Montana State Univ. (United States)

Published in SPIE Proceedings Vol. 6272:
Advances in Adaptive Optics II
Brent L. Ellerbroek; Domenico Bonaccini Calia, Editor(s)

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