| 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. |
| Genre: | Article |
| ProdID: | 70034550 |
| Citation Author: | Nichols, J. M.; Link, W. A.; Murphy, K. D.; Olson, C. C. |
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| Citation End Page: | 3007 |
| Citation Issue: | 15 |
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| Citation Language: | English |
| Citation Larger Work Title: | Journal of Sound and Vibration |
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| Citation Number Of Pages: | 13 |
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| Citation Search Results Text: | A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites; 2010; Article; Journal; Journal of Sound and Vibration; Nichols, J. M.; Link, W. A.; Murphy, K. D.; Olson, C. C. |
| Citation Start Page: | 2995 |
| Citation Volume: | 329 |
| Citation Year: | 2010 |
| Type: | citation/reference |
| Text: | A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites; 2010; Article; Journal; Journal of Sound and Vibration; Nichols, J. M.; Link, W. A.; Murphy, K. D.; Olson, C. C. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1016/j.jsv.2010.02.004 |
| Date Other: | Fri, 1 Jan 2010 00:00 -0600 |
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