Uncertainty quantification and sensitivity analysis for the self-excited vibration of a spline-shafting system

Tools

Ma, Xinxing and Zhong, Yucai and Cao, Peng and Yuan, Jie and Zhang, Zhenguo (2023) Uncertainty quantification and sensitivity analysis for the self-excited vibration of a spline-shafting system. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 9 (4). 041104. ISSN 2332-9025 (https://doi.org/10.1115/1.4063069)

[thumbnail of Ma_etal_JRUES_2023_Uncertainty_quantification_and_sensitivity_analysis_for_the_self_excited]
Preview
 Text. Filename: Ma_etal_JRUES_2023_Uncertainty_quantification_and_sensitivity_analysis_for_the_self_excited.pdf
Accepted Author Manuscript
License: Creative Commons Attribution 4.0 logo
Download (2MB)| Preview

Abstract

Self-excited vibrations can occur in the spline-shafting system due to internal friction of the tooth surface. However, due to manufacturing errors, design tolerances, and time-varying factors, the parameters that induce self-excited vibrations are always uncertain. This study provides new insights into the uncertainty quantification and sensitivity analysis of a spline-shaft system suffering from self-excited vibrations. The nonintrusive generalized polynomial chaos expansion (gPCE) with unknown deterministic coefficients is used to represent the propagation of uncertainties in the rotor dynamics, which allows rapid estimation of the statistics of the nonlinear responses. Furthermore, the global sensitivity analysis of the stochastic self-excited vibration response of the rotor system with probabilistic uncertain parameters is evaluated by Sobol indices. The relative influence of different random parameters on the vibration behavior and initial displacement conditions for the occurrence of self-excited vibration is investigated. The accuracy of the adopted method based on the gPCE metamodel is validated by conventional Monte Carlo simulation (MCS). Finally, the effects of parameter uncertainties considering random distribution characteristics on the stochastic vibration characteristics of the rotor system are discussed, which demonstrates the need to consider input uncertainties in analysis and design to ensure robust system performance.

ORCID iDs

Ma, Xinxing, Zhong, Yucai, Cao, Peng, Yuan, Jie ORCID logoORCID: https://orcid.org/0000-0002-2411-8789 and Zhang, Zhenguo;
  • Item type:Article
    ID code:87023
    Dates:
    Date
    Event
    31 December 2023
    Published
    3 October 2023
    Published Online
    10 July 2023
    Accepted
    25 March 2023
    Submitted
    Notes:Copyright © 2023 ASME. This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
    Subjects:Technology > Mechanical engineering and machinery
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Depositing user: Pure Administrator
    Date deposited:23 Oct 2023 09:38
    Last modified:20 Nov 2024 10:55
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/87023
CORE (COnnecting REpositories)