A NON-GAUSSIAN TURBULENCE SIMULATION

Abstract

A comparison of the statistical properties of low altitude atmospheric turbulence and the characteristics of presently used simulation techniques shows that these techniques do not satisfactorily account for the non-Gaussian nature of turbulence. A non-Gaussian turbulence simulation, intended to be used in conjunction with piloted flight simulators, is developed. The simulation produces three simultaneous random processes which represent the three orthogonal gust components. The probability distribution of each component is characterized by a modified Bessel function. The rms intensity and scale length of each component are independent parameters. A general method of introducing cross spectra between components is demonstrated. The multiplication of independent random processes is used to generate each of the gust components. Gaussian white noise generators, analog multipliers, and linear filters are used throughout the simulation. A complete analog circuit diagram is presented.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1969
Accession Number
AD0701735

Entities

People

  • Paul M. Reeves

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Altitude
  • Atmospheric Motion
  • Bessel Functions
  • Computational Science
  • Data Science
  • Flight Simulators
  • Gaussian Processes
  • Generators
  • Information Science
  • Low Altitude
  • Mathematical Filters
  • Noise Generators
  • Simulations
  • Simulators
  • Turbulence
  • White Noise

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation