A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites
Journal of Sound and Vibration
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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.
| 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 |
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