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A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites

Journal of Sound and Vibration

By:
, , ,
DOI: 10.1016/j.jsv.2010.02.004

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Abstract

This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-freedom structural systems using free-decay vibrations. The approach is then applied to the problem of identifying the location, size, and depth of delamination in a model composite beam. The influence of additive Gaussian noise on the response data is explored with respect to the quality of the resulting parameter estimates.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites
Series title:
Journal of Sound and Vibration
DOI:
10.1016/j.jsv.2010.02.004
Volume
329
Issue:
15
Year Published:
2010
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Journal of Sound and Vibration
First page:
2995
Last page:
3007
Number of Pages:
13