Efficient computational techniques for mistuning analysis of bladed discs: A review
Efficient computational techniques for mistuning analysis of bladed discs: A review
This paper describes a review of the relevant literature about mistuning problems in bladed disc systems, and their implications for the uncertainty propagation associated to the dynamics of aeroengine systems. An emphasis of the review is placed on the developments of the multi-scale computational techniques to increase the computational efficiency for the linear mistuning analysis, especially with the respect to the reduced order modeling techniques and uncertainty quantification methods. The non-linearity phenomena are not considered in this paper. The first two parts describe the fundamentals of the mechanics of tuned and mistuned bladed discs, followed by a review of critical research efforts performed on the development of reduced order rotor models. The focus of the fourth part is on the review of efficient simulation methods for the stochastic analysis of mistuned bladed disc systems. After that, we will finally provide a view of the current state of the art associated to efficient inversion methods for the stochastic analysis, followed by a summary.
71-90
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Allegri, G.
8dd43a78-5f53-472f-853a-1b2fd7b129e4
Titurus, B.
71f65324-d414-47a4-8bca-ef61fc9641bc
Patsias, S.
e7e4a982-00c2-4025-ba71-32c101489b7c
Rajasekaran, R.
c5f6d9b9-8517-49e1-afc5-5830d2d1390d
15 March 2017
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Allegri, G.
8dd43a78-5f53-472f-853a-1b2fd7b129e4
Titurus, B.
71f65324-d414-47a4-8bca-ef61fc9641bc
Patsias, S.
e7e4a982-00c2-4025-ba71-32c101489b7c
Rajasekaran, R.
c5f6d9b9-8517-49e1-afc5-5830d2d1390d
Yuan, J., Scarpa, F., Allegri, G., Titurus, B., Patsias, S. and Rajasekaran, R.
(2017)
Efficient computational techniques for mistuning analysis of bladed discs: A review.
Mechanical Systems and Signal Processing, 87 (Part A), .
(doi:10.1016/j.ymssp.2016.09.041).
Abstract
This paper describes a review of the relevant literature about mistuning problems in bladed disc systems, and their implications for the uncertainty propagation associated to the dynamics of aeroengine systems. An emphasis of the review is placed on the developments of the multi-scale computational techniques to increase the computational efficiency for the linear mistuning analysis, especially with the respect to the reduced order modeling techniques and uncertainty quantification methods. The non-linearity phenomena are not considered in this paper. The first two parts describe the fundamentals of the mechanics of tuned and mistuned bladed discs, followed by a review of critical research efforts performed on the development of reduced order rotor models. The focus of the fourth part is on the review of efficient simulation methods for the stochastic analysis of mistuned bladed disc systems. After that, we will finally provide a view of the current state of the art associated to efficient inversion methods for the stochastic analysis, followed by a summary.
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More information
Accepted/In Press date: 24 September 2016
Published date: 15 March 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 acknowledgement 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. The authors would also like to thank the Reviewers for their useful suggestions.
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Local EPrints ID: 479232
URI: http://eprints.soton.ac.uk/id/eprint/479232
ISSN: 0888-3270
PURE UUID: e52ad491-8c00-4649-a76a-82cde3700487
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Date deposited: 20 Jul 2023 16:46
Last modified: 17 Mar 2024 04:20
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Author:
J. Yuan
Author:
F. Scarpa
Author:
G. Allegri
Author:
B. Titurus
Author:
S. Patsias
Author:
R. Rajasekaran
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