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Bayesian posteriors of uncertainty quantification in computational structural dynamics for low-and medium-frequency ranges
| Content Provider | Semantic Scholar |
|---|---|
| Author | Soize, Christian |
| Copyright Year | 2018 |
| Abstract | The paper is devoted to the modeling and identification of uncertainties in computational structural dynamics for lowand medium-frequency ranges. A complete methodology is presented for the identification procedure. The first eigenfrequencies are used to quantify the uncertainties in the low-frequency band while the frequency response functions are used to quantify the uncertainties in the medium-frequency band. The system-parameter uncertainties are taken into account with the parametric probabilistic approach. The model uncertainties are taken in to account with the nonparametric probabilistic approach. The posterior stochastic model of systemparameter uncertainties is identified using the Bayes method. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal-upec-upem.archives-ouvertes.fr/hal-00806363/document |
| Alternate Webpage(s) | https://hal-upec-upem.archives-ouvertes.fr/file/index/docid/806363/filename/publi-2013-C_S-soize-preprint.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |