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Probabilistic component mode synthesis of nondeterministic substructures
Author(s) -
Andrew M. Brown,
Aldo A. Ferri
Publication year - 1996
Publication title -
aiaa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/3.13146
Subject(s) - component (thermodynamics) , nondeterministic algorithm , probabilistic logic , mode (computer interface) , computer science , algorithm , mathematics , physics , artificial intelligence , thermodynamics , operating system
Standard methods of structural dynamic analysis assume that the structural characteristics are deterministic. Recognizing that these characteristics are actually statistical in nature, researchers have recently developed a variety of methods that use this information to determine probabilities of a desired response characteristic, such as natural frequency, without using expensive Monte Carlo simulations. One of the problems in these methods is correctly identifying the statistical properties of primitive variables such as geometry, stiffness, and mass. We present a method where the measured dynamic properties of substructures are used instead as the random variables. The residual flexibility method of component mode synthesis is combined with the probabilistic methods to determine the cumulative distribution function of the system eigenvalues. A simple cantilever beam test problem is presented that illustrates the theory.

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