QUANTIFICATION AND PROPAGATION OF UNCERTAINTY IN CRITICAL SPEEDS AND MODE SHAPES OF ROTATING STRUCTURES

Wang Luo, Chao Fu, Kuan Lu, Yongfeng Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Parametric uncertainties are ubiquitous in engineering structures in a variety of forms. Specifically, the most significant sources of uncertainties in rotating structures include the manufacture errors, assemble tolerance, boundary conditions and geometrical properties of critical components. The uncertain parameters have irreducible influences on inherent modal properties of the rotating systems. It is required to consider the variabilities of uncertainties for a robust evaluation of natural characteristics. This paper employed a polynomial surrogate method to track the propagation of parametric uncertainties in an overhung rotating structure. The method is non-probabilistic in nature, which alleviates the hash requirement of strict probabilistic density functions that could be difficult to obtain for real applications. The critical speeds and mode shapes of the rotor-bearing system were investigated based on the surrogate model considering different uncertain parameters. The results were validated with the crude scanning method. It was demonstrated that the surrogate method used has superiority in computation efficiency over traditional methods while maintaining enough accuracy, which will be beneficial for large-scale engineering structures. Moreover, the analysis procedure is adaptable to other uncertain structures with little change.

Original languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Pages700-704
Number of pages5
Volume2022
Edition13
ISBN (Electronic)9781839537837
DOIs
StatePublished - 2022
Event1st International Conference on Mechanical System Dynamics, ICMSD 2022 - Nanjing, China
Duration: 24 Aug 202227 Aug 2022

Conference

Conference1st International Conference on Mechanical System Dynamics, ICMSD 2022
Country/TerritoryChina
CityNanjing
Period24/08/2227/08/22

Keywords

  • MODAL CHARACTERISTICS
  • ROTATING SYSTEM
  • SURROGATE MODEL
  • UNCERTAINTY

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