Probabilistic dynamics of mistuned bladed disc systems using Subset Simulation

J. Yuan, G. Allegri, F. Scarpa, R. Rajasekatan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

The work describes an assessment of subset simulation (SubSim) techniques to increase the computational efficiency for the predictions of probabilistic dynamic behavior in mistuned bladed disc systems. Subset Simulation (SubSim) is an adaptive stochastic procedure to compute efficiently small failure probabilities, which are expressed as a product of large conditional failures probabilities by introducing intermediate failure events. The original version of SubSim is used in this work to simulate samples related to intermediate failure events. A 2-DOFs model with lumped parameters identified from a finite element model is used to represent a bladed disc. The statistics associated to the maximum forced frequency response amplitudes are evaluated from different levels of the blade mistuning using stiffness perturbation in the blades. The study shows the SubSim method capture efficiently the statistical properties of the mistuned blades with less than 1% of sample size that necessary for the traditional Monte Carlo method.

Original languageEnglish
Title of host publicationProceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
PublisherK U Leuven
Pages4609-4621
Number of pages13
ISBN (Print)9789073802919
Publication statusPublished - 1 Jan 2015
Event26th International Conference on Noise and Vibration Engineering, ISMA 2014, Including the 5th International Conference on Uncertainty in Structural Dynamics, USD 2014 - Leuven, Belgium
Duration: 15 Sep 201417 Sep 2014

Conference

Conference26th International Conference on Noise and Vibration Engineering, ISMA 2014, Including the 5th International Conference on Uncertainty in Structural Dynamics, USD 2014
CountryBelgium
CityLeuven
Period15/09/1417/09/14

Structured keywords

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