Abstract:This paper deals with the characterization of the blade manufacturing geometric tolerances in order to get a given level of amplification in the forced response of a mistuned bladed-disk. The theory is based on the use of a nonparametric probabilistic model of blade random uncertainties. The dispersion parameters controlling the nonparametric model are estimated as a function of the geometric tolerances. The industrial application is devoted to the mistuning analysis of a 22 blades wide chord fan stage. Centri… Show more
“…Thus, we can see that the air flow has not greatly been perturbed, but little differences may appear on the damping characteristics of the two types of blade. These differences can be taken into account by the stochastic model of uncertainties, but to do so, we need a method for estimating the aeroelastic dispersion parameter between the two configurations like the one developed in [27]. For the sake of simplicity, this will not be treated here, and an aeroelastic null dispersion parameter is considered for the test.…”
To cite this version:M. Mbaye, Christian Soize, J.-P. Ousty, Evangéline Capiez-Lernout. Robust analysis of design in vibration of turbomachines. ASME Journal of Turbomachinery, 2013, 135 (2)
“…Thus, we can see that the air flow has not greatly been perturbed, but little differences may appear on the damping characteristics of the two types of blade. These differences can be taken into account by the stochastic model of uncertainties, but to do so, we need a method for estimating the aeroelastic dispersion parameter between the two configurations like the one developed in [27]. For the sake of simplicity, this will not be treated here, and an aeroelastic null dispersion parameter is considered for the test.…”
To cite this version:M. Mbaye, Christian Soize, J.-P. Ousty, Evangéline Capiez-Lernout. Robust analysis of design in vibration of turbomachines. ASME Journal of Turbomachinery, 2013, 135 (2)
“…The present robust udating optimization is briefly summarized as follows. The uncertain computational model which has to be updated is constructed with the non-parametric probabilistic approach [18,19] whose relevance and efficiency has been proven in structural dynamics [20][21][22][23] and in structural acoustics [24,25]. The main idea of this approach is to avoid a complex modelling of the mean computational model.…”
To cite this version:Evangéline Capiez-Lernout, Christian Soize. Robust updating of uncertain damping models in structural dynamics for low-and medium-frequency ranges. Mechanical Systems and Signal Processing, Elsevier, 2008, 22 (8)
“…Since the paper [70], many works have been published, in particular concerning extension of the theory and its experimental validations [5,7,8,17,18,23,24,29,31,32,33,36,42,50,60,61,72,73,74,76,78,79].…”
Section: Types Of Approaches For Constructing Prior Stochastic Modelsmentioning
To cite this version:Christian Soize. Bayesian posteriors of uncertainty quantification in computational structural dynamics for low-and medium-frequency ranges. Computers and Structures, Elsevier, 2013, 126 (-)
AbstractThe 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.
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