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Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers
Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers

Underplatform dampers are widely used in turbomachinery to mitigate structural vibrations by means of friction dissipation at the interfaces. The modelling of such friction dissipation is challenging because of the high variability observed in experimental measurements of contact parameters. Although this variability is not commonly accounted for in state-of-the-art numerical solvers, probabilistic approaches can be implemented to include it in dynamics simulations in order to significantly improve the estimation of the damper performance. The aim of this work is to obtain uncertainty bands in the dynamic response of turbine blades equipped with dampers by including the variability observed in interfacial contact parameters. This variability is experimentally quantified from a friction rig and used to generate uncertainty bands by combining a deterministic state-of-the-art numerical solver with stochastic Polynomial Chaos Expansion (PCE) models. The bands thus obtained are validated against experimental data from an underplatform damper test rig. In addition, the PCEs are also employed to perform a variance-based global sensitivity analysis to quantify the influence of contact parameters on the variation in the nonlinear dynamic response via Sobol indices. The analysis highlights that the influence of each contact parameter in vibration amplitude strongly varies over the frequency range, and that Sobol indices can be effectively used to analyse uncertainties associated to structures with friction interfaces providing valuable insights into the physics of such complex nonlinear systems.

0888-3270
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Fantetti, Alfredo
bb13cedb-6c12-4e5b-a042-ec1780c81307
Denimal, Enora
49fe7e8d-c02b-4ebe-b126-4ca1000c939d
Bhatnagar, Shubham
d2450e2e-02b9-46f8-8e18-462fe392afcd
Pesaresi, Luca
f42c3347-5b3e-4317-9bb1-85d3ab306f13
Schwingshackl, Christoph
28a794da-05fa-4c67-a2a5-d23b9b9ab743
Salles, Loic
1b179daa-7bb9-4f34-8b5f-dfc05b496969
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Fantetti, Alfredo
bb13cedb-6c12-4e5b-a042-ec1780c81307
Denimal, Enora
49fe7e8d-c02b-4ebe-b126-4ca1000c939d
Bhatnagar, Shubham
d2450e2e-02b9-46f8-8e18-462fe392afcd
Pesaresi, Luca
f42c3347-5b3e-4317-9bb1-85d3ab306f13
Schwingshackl, Christoph
28a794da-05fa-4c67-a2a5-d23b9b9ab743
Salles, Loic
1b179daa-7bb9-4f34-8b5f-dfc05b496969

Yuan, Jie, Fantetti, Alfredo, Denimal, Enora, Bhatnagar, Shubham, Pesaresi, Luca, Schwingshackl, Christoph and Salles, Loic (2021) Propagation of friction parameter uncertainties in the nonlinear dynamic response of turbine blades with underplatform dampers. Mechanical Systems and Signal Processing, 156, [107673]. (doi:10.1016/j.ymssp.2021.107673).

Record type: Article

Abstract

Underplatform dampers are widely used in turbomachinery to mitigate structural vibrations by means of friction dissipation at the interfaces. The modelling of such friction dissipation is challenging because of the high variability observed in experimental measurements of contact parameters. Although this variability is not commonly accounted for in state-of-the-art numerical solvers, probabilistic approaches can be implemented to include it in dynamics simulations in order to significantly improve the estimation of the damper performance. The aim of this work is to obtain uncertainty bands in the dynamic response of turbine blades equipped with dampers by including the variability observed in interfacial contact parameters. This variability is experimentally quantified from a friction rig and used to generate uncertainty bands by combining a deterministic state-of-the-art numerical solver with stochastic Polynomial Chaos Expansion (PCE) models. The bands thus obtained are validated against experimental data from an underplatform damper test rig. In addition, the PCEs are also employed to perform a variance-based global sensitivity analysis to quantify the influence of contact parameters on the variation in the nonlinear dynamic response via Sobol indices. The analysis highlights that the influence of each contact parameter in vibration amplitude strongly varies over the frequency range, and that Sobol indices can be effectively used to analyse uncertainties associated to structures with friction interfaces providing valuable insights into the physics of such complex nonlinear systems.

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Accepted/In Press date: 19 January 2021
e-pub ahead of print date: 16 February 2021
Published date: 16 February 2021

Identifiers

Local EPrints ID: 478919
URI: http://eprints.soton.ac.uk/id/eprint/478919
ISSN: 0888-3270
PURE UUID: 1743cf51-c49e-47cb-b2e0-b1af8bee8fdd
ORCID for Jie Yuan: ORCID iD orcid.org/0000-0002-2411-8789

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Date deposited: 13 Jul 2023 16:51
Last modified: 17 Mar 2024 07:45

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Contributors

Author: Jie Yuan ORCID iD
Author: Alfredo Fantetti
Author: Enora Denimal
Author: Shubham Bhatnagar
Author: Luca Pesaresi
Author: Christoph Schwingshackl
Author: Loic Salles

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