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Analysis of Stationary Random Responses for Non-Parametric Probabilistic Systems
Author(s) -
Yangzhen Zhao,
Yanhui Zhang,
Jinbo Lin,
W.P. Howson,
F.W. Williams
Publication year - 2010
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2010/685309
Subject(s) - finite element method , parametric statistics , stiffness , probabilistic logic , random element , computer science , stochastic process , random field , stiffness matrix , matrix (chemical analysis) , random vibration , algorithm , engineering , mathematics , structural engineering , vibration , physics , statistics , artificial intelligence , materials science , quantum mechanics , composite material
The move from conceptual design, through fabrication to observation and measurement on the resulting physical structure is fraught with uncertainty. This, together with the necessary simplifications inherent when using the finite element technique, makes the development of a predictive model for the physical structure sufficiently approximate that the use of random structural models is often to be preferred. In this paper, the random uncertainties of the mass, damping and stiffness matrices in a finite element model are replaced by random matrices, and a highly efficient pseudo excitation method for the dynamic response analysis of non-parametric probability systems subjected to stationary random loads is developed. A numerical example shows that the dynamic responses calculated using a conventional (mean) finite element model may be quite different from those based on a random matrix model. For precise fabrication, the uncertainties of models cannot be ignored and the proposed method should be useful in the analysis of such problems.

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