| Titre : | Markov chain monte carlo-based method for flaw detection in beams (2007) |
| Auteurs : | Ronald E. Glaser, Auteur ; Christopher L. Lee, Auteur ; John J. Nitao, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of engineering mechanics (Vol. 133 N°12, Decembre 2007) |
| Article en page(s) : | pp.1258–1267 |
| Note générale : | Mécaanique appliquée |
| Langues : | Anglais |
| Tags : | Markov chains Monte Carlo method Bayesian analysis Structural models Damage Cantilevers |
| Résumé : | A Bayesian inference methodology using a Markov chain Monte Carlo (MCMC) sampling procedure is presented for estimating the parameters of computational structural models. This methodology combines prior information, measured data, and forward models to produce a posterior distribution for the system parameters of structural models that is most consistent with all available data. The MCMC procedure is based upon a Metropolis-Hastings algorithm that is shown to function effectively with noisy data, incomplete data sets, and mismatched computational nodes/measurement points. A series of numerical test cases based upon a cantilever beam is presented. The results demonstrate that the algorithm is able to estimate model parameters utilizing experimental data for the nodal displacements resulting from specified forces. |
| ISSN : | 0733-9399 |
| En ligne : | http://ascelibrary.org/action/showAbstract?page=1258&volume=133&issue=12&journalCode=jenmdt& |
