2 edition of **Statistical analysis of atmospheric turbulence about a simulated block building** found in the catalog.

Statistical analysis of atmospheric turbulence about a simulated block building

Sidney L. Steely

- 247 Want to read
- 40 Currently reading

Published
**1980**
by National Aeronautics and Space Administration, Scientific and Technical Information Branch, for sale by the National Technical Information Service] in Washington, [Springfield, Va
.

Written in English

- Atmospheric turbulence -- Statistical methods.,
- Vertical wind shear.,
- Buildings -- Aerodynamics.

**Edition Notes**

Statement | Sidney L. Steely, Jr., and Walter Frost. |

Series | NASA contractor report -- NASA CR-3366. |

Contributions | Frost, Walter, 1935-, United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., George C. Marshall Space Flight Center. |

The Physical Object | |
---|---|

Pagination | x, 174 p. : |

Number of Pages | 174 |

ID Numbers | |

Open Library | OL17823329M |

Dec 03, · Comparison and analysis for several usual types of atmospheric turbulence simulator are first given in this paper. Considering the Tatarskii spectrum and the conditions of laboratory, secondly, the numerical calculations of the M 2 factor and the spatial and angular widths of coherent Gaussian beams in turbulence are performed. Finally, a kind of a hot-wind atmospheric turbulence generator is Cited by: 1. A REVIEW OF THE STATISTICAL THEORY OF TURBULENCE* BY HUGH L. DRYDEN National Bureau of Standards 1. Introduction. The irregular random motion of small fluid masses to which the name turbulence is given is of such complexity that there can be no hope of a theory which will describe in detail the velocity and pressure.

Statistical properties of decaying geostrophic turbulence 20 1 The operator J in (1) is the horizontal Jacobian, and it represents horizontal advection. N(z) is the non-dimensional Brunt-Vaisala frequency (i.e. the vertical gradient of the mean density profile). t is the temporal coordinate. The horizontal coordinates are x and y, their range isCited by: section [2]. Reliable simulations in atmospheric boundary layer tunnels must respect laws consisting in a correct growth of the boundary layer and a good matching scale of modeling. Mean velocity profiles, turbulence profiles, power spectra and finally integral scales of turbulence give essential information on the fidelity of the model. 2.

We present an introductory overview of several challenging problems in the statistical characteri-zation of turbulence. We provide examples from ﬂuid turbulence in three and two dimensions, from the turbulent advection of passive scalars, turbulence in the one-dimensional Burgers equation, and ﬂuid turbulence in the presence of polymer. Analysis of offshore turbulence intensity –comparison with prediction models T.V. Lawson et al. ESDU ”Characteristics of atmospheric turbulence near the ground Part II: single point data for strong winds (neutral ”Adiabatic atmospheric boundary layers: a review and analysis of data from the period ”, Atmospheric.

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Statistical Analysis of Atmospheric Turbulence About a Simulated Block Building Sidney L. Steely, Jr., and Walter Frost The University of Tennessee Space Institute Tdahoma, Tennessee Prepared for Marshall Space Flight Center under Contract NAS National Aeronautics and Space Administration Scientific 8nd Twhnicd.

Get this from a library. Statistical analysis of atmospheric turbulence about a simulated block building. [Sidney L Steely; Walter Frost; United States.

National Aeronautics and Space Administration. Scientific and Technical Information Branch.; George C. Marshall Space Flight Center.; University of Tennessee (System). Space Institute.]. Get this from a library. Statistical analysis of atmospheric turbulence about a simulated block building.

[Sidney L Steely; Walter Frost; United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch,; George C. Marshall Space Flight Center,]. issue can be found, in chapter 3 of Frisch’s book. In this lecture we ﬁrst introduce the statistical tools used in the analysis of turbulent ﬂows.

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Cardullo State University of New York, Binghamton, New York Lon C. Kelly Unisys Corporation, Hampton, Virginia Jacob A. Cited by: 1. Probability density distribution analysis is a useful tool in statistical analysis of the wall turbulence.

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