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Nonlinear Damping Identification in Nonlinear Dynamic System Based on Stochastic Inverse Approach
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-05
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
The nonlinear model is crucial to prepare, supervise, and analyze mechanical system.
In this paper, a new nonparametric and output-only identification procedure for nonlinear damping is studied.
By introducing the concept of the stochastic state space, we formulate a stochastic inverse problem for a nonlinear damping.
The solution of the stochastic inverse problem is designed as probabilistic expression via the hierarchical Bayesian formulation by considering various uncertainties such as the information insufficiency in parameter of interests or errors in measurement.
The probability space is estimated using Markov chain Monte Carlo (MCMC).
The applicability of the proposed method is demonstrated through numerical experiment and particular application to a realistic problem related to ship roll motion.
American Psychological Association (APA)
Han, S. L.& Kinoshita, Takeshi. 2012. Nonlinear Damping Identification in Nonlinear Dynamic System Based on Stochastic Inverse Approach. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1001719
Modern Language Association (MLA)
Han, S. L.& Kinoshita, Takeshi. Nonlinear Damping Identification in Nonlinear Dynamic System Based on Stochastic Inverse Approach. Mathematical Problems in Engineering No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1001719
American Medical Association (AMA)
Han, S. L.& Kinoshita, Takeshi. Nonlinear Damping Identification in Nonlinear Dynamic System Based on Stochastic Inverse Approach. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1001719
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001719