Quantification of uncertainties in nonlinear vibrations of turbine blades with underplatform dampers

Bhatnagar, S; Yuan, J; Fantetti, A; Denimal, E; Salles, Loïc

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Quantification of uncertainties in nonlinear vibrations of turbine blades with underplatform dampers

Bhatnagar, S; Yuan, J; Fantetti, A et al.

2020 • In ISMA 2020

Peer reviewed

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https://hdl.handle.net/2268/334059

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Abstract :

[en] The high cycle fatigue life of turbine blades is negatively impacted by high frequency mechanical vibrations caused during operation. One method to mitigate this risk is to use underplatform dampers to dissipate energy from the system and reduce the vibration amplitude. Unfortunately, the state of the art models for such simulations are deterministic, although literature indicates that a large amount of uncertainty exists in measured contact parameters. This uncertainty in the contact parameters leads to significant variations in vibration response. This paper quantifies these uncertainties by considering the input parameters to be stochastic and generating uncertainty bands. A nonlinear solver based on Multi-Harmonic Balance method is used to propagate these uncertainties, and a surrogate model is implemented to increase the computational efficiency. Variance based sensitivity analysis is also performed to rank the importance of each uncertain parameter.

Disciplines :

Mechanical engineering

Author, co-author :

Bhatnagar, S

Yuan, J

Fantetti, A

Denimal, E

Salles, Loïc ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Vibration of Turbomachines ; Imperial College London > Mechanical Engineering > Vibration University Technology Center

Language :

English

Title :

Quantification of uncertainties in nonlinear vibrations of turbine blades with underplatform dampers

Publication date :

2020

Event name :

29th International Conference on Noise and Vibration engineering (ISMA2020)

Event place :

Leuven, Belgium

Event date :

2020

Audience :

International

Main work title :

ISMA 2020

Publisher :

KU Leuven

Peer review/Selection committee :

Peer reviewed

Available on ORBi :

since 06 July 2025

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