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The cover of “Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters” - Google Books.

"Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters" was published by Independently Published in 2018, the book is classified in Science genre, it has 38 pages and the language of the book is English.


“Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters” Metadata:

  • Title: ➤  Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters
  • Language: English
  • Number of Pages: 38
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: Independently Published
  • Publish Date:
  • Genres: Science

Edition Specifications:

  • Weight: 0.150
  • Pagination: 37

Edition Identifiers:

AI-generated Review of “Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters”:


Snippets and Summary:

Kozin, F. and Klosner, J. M. Unspecified Center NAG1-986.

"Review of Probabilistic Analysis of Dynamic Response of Systems with Random Parameters" Description:

Google Books:

The various methods that have been studied in the past to allow probabilistic analysis of dynamic response for systems with random parameters are reviewed. Dynamic response may have been obtained deterministically if the variations about the nominal values were small; however, for space structures which require precise pointing, the variations about the nominal values of the structural details and of the environmental conditions are too large to be considered as negligible. These uncertainties are accounted for in terms of probability distributions about their nominal values. The quantities of concern for describing the response of the structure includes displacements, velocities, and the distributions of natural frequencies. The exact statistical characterization of the response would yield joint probability distributions for the response variables. Since the random quantities will appear as coefficients, determining the exact distributions will be difficult at best. Thus, certain approximations will have to be made. A number of techniques that are available are discussed, even in the nonlinear case. The methods that are described were: (1) Liouville's equation; (2) perturbation methods; (3) mean square approximate systems; and (4) nonlinear systems with approximation by linear systems. Kozin, F. and Klosner, J. M. Unspecified Center NAG1-986...

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