The Response of Linear Unstable Systems to Stationary Gaussian Excitation.

Abstract

When an unstable, linear mechanical system is perturbed by random ambient disturbances, the dynamical parameters (velocities, pressure) characterizing the system are themselves characterized by statistical and spectral distributions that can be directly evaluated from a statistical and spectral description of the random initial condition. This is a natural extension of the deterministic approach whereby a given initial condition (say, a sinusoidal perturbation) gives rise to a deterministic outcome (say, a time-increasing sinusoidal amplitude). While the deterministic approach is valid only when the initial conditions are known exactly, it must be superseded by a stochastic model when these conditions are known only in a statistical sense. This model is successfully applied to the breakup of liquid jets where turbulence is assumed to provide the random disturbance. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1976
Accession Number
ADA032955

Entities

People

  • Pierre Lafrance

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Amplitude
  • Data Science
  • Distribution Functions
  • Frequency
  • Gaussian Noise
  • Information Science
  • Instability
  • Liquid Jets
  • Noise
  • Security
  • Stationary
  • Stationary Processes
  • Statistical Distributions
  • Statistics
  • Stochastic Processes
  • Turbulence
  • Waves

Fields of Study

  • Physics

Readers

  • Fluid Dynamics.
  • Mathematical Modeling and Probability Theory.