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Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-07-15
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper deals with the identification of stochastic loads applied to a nonlinear dynamical system for which a few experimental responses are available using an uncertain computational model.
Uncertainties are induced by the use of a simplified computational model to predict the responses of the real system.
A nonparametric probabilistic approach of both parameter uncertainties and model uncertainties is implemented in the simplified computational model in order to take into account uncertainties.
The level of uncertainties is identified using the maximum likelihood method.
The identified stochastic simplified computational model which is obtained is then used to perform the identification of the stochastic loads applied to the real nonlinear dynamical system.
A numerical validation of the complete methodology is presented.
American Psychological Association (APA)
Soize, C.& Batou, A.. 2008. Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model. Mathematical Problems in Engineering،Vol. 2008, no. 2008, pp.1-16.
https://search.emarefa.net/detail/BIM-452428
Modern Language Association (MLA)
Soize, C.& Batou, A.. Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model. Mathematical Problems in Engineering No. 2008 (2008), pp.1-16.
https://search.emarefa.net/detail/BIM-452428
American Medical Association (AMA)
Soize, C.& Batou, A.. Identification of Stochastic Loads Applied to a Nonlinear Dynamical System Using an Uncertain Computational Model. Mathematical Problems in Engineering. 2008. Vol. 2008, no. 2008, pp.1-16.
https://search.emarefa.net/detail/BIM-452428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452428