Effect of uncertainty in the balancing weights on the vibration response of a high-speed rotor

Datz, J; Karimi, M; Marburg, S

Effect of uncertainty in the balancing weights on the vibration response of a high-speed rotor

Datz, J Karimi, M

Marburg, S

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Publisher:: American Society of Mechanical Engineers
Publication Type:: Journal Article
Citation:: Journal of Vibration and Acoustics: Transactions of the ASME, 2021, 143, (6), pp. 1-12
Issue Date:: 2021-12-01

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Field	Value	Language
dc.contributor.author	Datz, J
dc.contributor.author	Karimi, M https://orcid.org/0000-0002-2949-5364
dc.contributor.author	Marburg, S
dc.date.accessioned	2022-03-01T03:36:17Z
dc.date.available	2022-03-01T03:36:17Z
dc.date.issued	2021-12-01
dc.identifier.citation	Journal of Vibration and Acoustics: Transactions of the ASME, 2021, 143, (6), pp. 1-12
dc.identifier.issn	1048-9002
dc.identifier.issn	1528-8927
dc.identifier.uri	http://hdl.handle.net/10453/154929
dc.description.abstract	This work investigates how uncertainties in the balancing weights are propagating into the vibration response of a high-speed rotor. Balancing data are obtained from a 166-MW gas turbine rotor in a vacuum balancing tunnel. The influence coefficient method is then implemented to characterize the rotor system by a deterministic multi-speed and multi-plane matrix. To model the uncertainties, a non-sampling probabilistic method based on the generalized polynomial chaos expansion (gPCE) is employed. The uncertain parameters including the mass and angular positions of the balancing weights are then expressed by gPCE with deterministic coefficients. Assuming predefined probability distributions of the uncertain parameters, the stochastic Galerkin projection is applied to calculate the coefficients for the input parameters. Furthermore, the vibration amplitudes of the rotor response are represented by appropriate gPCE with unknown deterministic coefficients. These unknown coefficients are determined using the stochastic collocation method by evaluating the gPCE for the system response at a set of collocation points. The effects of individual and combined uncertain parameters from a single and multiple balancing planes on the rotor vibration response are examined. Results are compared with the Monte Carlo simulations, showing excellent agreement.
dc.language	English
dc.publisher	American Society of Mechanical Engineers
dc.relation.ispartof	Journal of Vibration and Acoustics: Transactions of the ASME
dc.relation.isbasedon	10.1115/1.4049628
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0913 Mechanical Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Acoustics
dc.title	Effect of uncertainty in the balancing weights on the vibration response of a high-speed rotor
dc.type	Journal Article
utslib.citation.volume	143
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-01T03:36:16Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	143
utslib.citation.issue	6

Abstract:

This work investigates how uncertainties in the balancing weights are propagating into the vibration response of a high-speed rotor. Balancing data are obtained from a 166-MW gas turbine rotor in a vacuum balancing tunnel. The influence coefficient method is then implemented to characterize the rotor system by a deterministic multi-speed and multi-plane matrix. To model the uncertainties, a non-sampling probabilistic method based on the generalized polynomial chaos expansion (gPCE) is employed. The uncertain parameters including the mass and angular positions of the balancing weights are then expressed by gPCE with deterministic coefficients. Assuming predefined probability distributions of the uncertain parameters, the stochastic Galerkin projection is applied to calculate the coefficients for the input parameters. Furthermore, the vibration amplitudes of the rotor response are represented by appropriate gPCE with unknown deterministic coefficients. These unknown coefficients are determined using the stochastic collocation method by evaluating the gPCE for the system response at a set of collocation points. The effects of individual and combined uncertain parameters from a single and multiple balancing planes on the rotor vibration response are examined. Results are compared with the Monte Carlo simulations, showing excellent agreement.

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http://hdl.handle.net/10453/154929