Automated Classification of Non-Kolmogorov Turbulence Using a High-Order Surrogate Function

Abstract

A method of automated turbulence characterization has been developed for sonic anemometer data. We found that the structure function slope followed an exponential curve and used that observation to incorporate a surrogate function to simplify finding slopes and ranges of turbulence.

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Document Details

Document Type
Technical Report
Publication Date
Feb 14, 2022
Accession Number
AD1199952

Entities

People

  • Benjamin Wilson
  • Kevin Lieb
  • Melissa Beason

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Anemometers
  • Buoyancy
  • Classification
  • Curve Fitting
  • Directed Energy Weapons
  • Equations
  • Mathematics
  • Military Research
  • Observation
  • Physical Properties
  • Piezoelectric Transducers
  • Power Spectra
  • Refractive Index
  • Three Dimensional
  • Turbulence
  • Universities

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation