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Bayesian posteriors of uncertainty quantification in computational structural dynamics for low- and medium-frequency ranges
Abstract : The paper is devoted to the modeling and identification of uncertainties in computational structural dynamics for low- and 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.
Cited literature [85 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-00806363
Contributor : Christian Soize <>
Submitted on : Saturday, March 30, 2013 - 9:01:56 AM
Last modification on : Thursday, March 19, 2020 - 11:52:02 AM
Long-term archiving on: : Sunday, April 2, 2017 - 10:57:40 PM
Contributor : Christian Soize <>
Submitted on : Saturday, March 30, 2013 - 9:01:56 AM
Last modification on : Thursday, March 19, 2020 - 11:52:02 AM
Long-term archiving on: : Sunday, April 2, 2017 - 10:57:40 PM
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