Derivation of Forcing Functions for Monte Carlo Atmospheric Gust Loads Analysis

Abstract

A methodology developed to derive forcing functions from the turbulent component of measured wind profiles for a new Monte Carlo gust loads analysis approach is described. Several large sets of forcing functions were developed by extracting the short-duration, random component of measured Jimsphere wind profiles. A database consisting of Jimsphere wind soundings measured over the past three decades at the Eastern and Western Ranges of the United States was used to derive the forcing functions. Validity of these forcing functions for heavy-lift and medium-lift launch vehicles was established by examining the error contributions from various sources within the wind measurement system and the application of a noise-reducing filter. A unique aspect of the method is the extraction of the relatively rapidly changing turbulent component associated with the non-persistent wind features which are expected over a given observation time period.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1999
Accession Number
ADA381177

Entities

People

  • A. M. Kabe
  • B. H. Sako
  • M. C. Kim
  • W. K. Yeung

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Aerodynamic Forces
  • Air Force
  • Altitude
  • Atmospheric Motion
  • Databases
  • Frequency
  • Gust Loads
  • Gusts
  • Launch Vehicles
  • Measurement
  • Noise (Radar)
  • Radar
  • Turbulence
  • Vehicles
  • Wind
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Statistical inference.