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Impact of Damping Models in Damage Identification
Joint Authors
Ritto, T. G.
Souza, Michael
Castello, Daniel
Roitman, Ney
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Several damage identification approaches are based on computational models, and their diagnostics depend on the set of modelling hypotheses adopted when building the model itself.
Among these hypotheses, the choice of appropriate damping models seems to be one of the key issues.
The goal of this paper is to analyze the impact of a set of damping models on the damage identification diagnostics.
The damage identification is built on a Bayesian framework, and the measured data are the modal data associated with the first modes of the structure.
The exploration of the posterior density of unknown model parameters is performed by means of the Markov chain Monte Carlo method (MCMC) with Delayed Rejection Adaptive Metropolis (DRAM) algorithm.
The analyses are based on experimental dynamic response obtained from an aluminum beam instrumented with a set of accelerometers.
The presence of damage/anomaly within the system is physically simulated by placing lumped masses over the beam, considering three different masses and two different placing positions.
For the set of cases analyzed, it is shown that the proposed approach was able to identify both the position and magnitude of the lumped masses and that the damping models may not provide an increase of knowledge of some unknown parameters when damping rates are lower than 1%.
American Psychological Association (APA)
Souza, Michael& Castello, Daniel& Roitman, Ney& Ritto, T. G.. 2019. Impact of Damping Models in Damage Identification. Shock and Vibration،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1211255
Modern Language Association (MLA)
Souza, Michael…[et al.]. Impact of Damping Models in Damage Identification. Shock and Vibration No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1211255
American Medical Association (AMA)
Souza, Michael& Castello, Daniel& Roitman, Ney& Ritto, T. G.. Impact of Damping Models in Damage Identification. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1211255
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211255