The University of Southampton
University of Southampton Institutional Repository

Novel frame model for mistuning analysis of bladed disk systems

Novel frame model for mistuning analysis of bladed disk systems
Novel frame model for mistuning analysis of bladed disk systems
The work investigates the application of a novel frame model to reduce computational cost of the mistuning analysis of bladed disk systems. A full-scale finite element (FE) model of the bladed disk is considered as benchmark. The frame configuration for a single blade is identified through structural identification via an optimization process. The individual blades are then assembled by three-dimensional (3D) springs, whose parameters are determined by means of a calibration process. The dynamics of the novel beam frame assembly is also compared to those obtained from three state-of-the-art FE-based reduced order models (ROMs), namely: a lumped parameter approach, a Timoshenko beam assembly, and component mode synthesis (CMS)-based techniques with free and fixed interfaces. The development of these classical ROMs to represent the bladed disk is also addressed in detail. A methodology to perform the mistuning analysis is then proposed and implemented. A comparison of the modal properties and forced response dynamics between the aforementioned ROMs and the full-scale FE model is presented. The case study considered in this paper demonstrates that the beam frame assembly can predict the variations of the blade amplitude factors, and the results are in agreement with full-scale FE model. The CMS-based ROMs underestimate the maximum amplitude factor, while the results obtained from beam frame assembly are generally conservative. The beam frame assembly is four times more computationally efficient than the CMS fixed-interface approach. This study proves that the beam frame assembly can efficiently predict the mistuning behavior of bladed disks when low-order modes are of interest.
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Titurus, B.
71f65324-d414-47a4-8bca-ef61fc9641bc
Allegri, G.
8dd43a78-5f53-472f-853a-1b2fd7b129e4
Patsias, S.
e7e4a982-00c2-4025-ba71-32c101489b7c
Rajasekaran, R.
c5f6d9b9-8517-49e1-afc5-5830d2d1390d
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Titurus, B.
71f65324-d414-47a4-8bca-ef61fc9641bc
Allegri, G.
8dd43a78-5f53-472f-853a-1b2fd7b129e4
Patsias, S.
e7e4a982-00c2-4025-ba71-32c101489b7c
Rajasekaran, R.
c5f6d9b9-8517-49e1-afc5-5830d2d1390d

Yuan, J., Scarpa, F., Titurus, B., Allegri, G., Patsias, S. and Rajasekaran, R. (2017) Novel frame model for mistuning analysis of bladed disk systems. Journal of Vibration and Acoustics, Transactions of the ASME, 139 (3), [VIB-15-1430]. (doi:10.1115/1.4036110).

Record type: Article

Abstract

The work investigates the application of a novel frame model to reduce computational cost of the mistuning analysis of bladed disk systems. A full-scale finite element (FE) model of the bladed disk is considered as benchmark. The frame configuration for a single blade is identified through structural identification via an optimization process. The individual blades are then assembled by three-dimensional (3D) springs, whose parameters are determined by means of a calibration process. The dynamics of the novel beam frame assembly is also compared to those obtained from three state-of-the-art FE-based reduced order models (ROMs), namely: a lumped parameter approach, a Timoshenko beam assembly, and component mode synthesis (CMS)-based techniques with free and fixed interfaces. The development of these classical ROMs to represent the bladed disk is also addressed in detail. A methodology to perform the mistuning analysis is then proposed and implemented. A comparison of the modal properties and forced response dynamics between the aforementioned ROMs and the full-scale FE model is presented. The case study considered in this paper demonstrates that the beam frame assembly can predict the variations of the blade amplitude factors, and the results are in agreement with full-scale FE model. The CMS-based ROMs underestimate the maximum amplitude factor, while the results obtained from beam frame assembly are generally conservative. The beam frame assembly is four times more computationally efficient than the CMS fixed-interface approach. This study proves that the beam frame assembly can efficiently predict the mistuning behavior of bladed disks when low-order modes are of interest.

This record has no associated files available for download.

More information

e-pub ahead of print date: 17 April 2017
Published date: 1 June 2017
Additional Information: The authors would like to acknowledge the support of Rolls-Royce plc for the support of this research through the Composites University Technology Centre (UTC) at the University of Bristol, UK. Special acknowledgment goes also to the Strategic Investment in Low carbon Engine Technology (SILOET) Programme supported by Rolls-Royce plc and Technology Strategy Board (TSB), and to the China Scholarship Council.

Identifiers

Local EPrints ID: 479221
URI: http://eprints.soton.ac.uk/id/eprint/479221
PURE UUID: 21990437-0691-4eae-b7db-abcabd8ffc95
ORCID for J. Yuan: ORCID iD orcid.org/0000-0002-2411-8789

Catalogue record

Date deposited: 20 Jul 2023 16:46
Last modified: 17 Mar 2024 04:20

Export record

Altmetrics

Contributors

Author: J. Yuan ORCID iD
Author: F. Scarpa
Author: B. Titurus
Author: G. Allegri
Author: S. Patsias
Author: R. Rajasekaran

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×