Efficient computational techniques for mistuning analysis of bladed discs : a review
Yuan, Jie and Scarpa, Fabrizio and Allegri, Giuliano and Titurus, Branislav and Patsias, Sophoclis and Rajasekaran, Ramesh (2017) Efficient computational techniques for mistuning analysis of bladed discs : a review. Mechanical Systems and Signal Processing, 87 (Part A). pp. 71-90. ISSN 0888-3270 (https://doi.org/10.1016/j.ymssp.2016.09.041)
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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.
ORCID iDs
Yuan, Jie ORCID: https://orcid.org/0000-0002-2411-8789, Scarpa, Fabrizio, Allegri, Giuliano, Titurus, Branislav, Patsias, Sophoclis and Rajasekaran, Ramesh;-
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Item type: Article ID code: 74940 Dates: DateEvent15 March 2017Published6 November 2016Published Online24 September 2016AcceptedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 17 Dec 2020 10:17 Last modified: 01 Oct 2024 14:32 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/74940