Predicting the Dynamic Response of Dual-Rotor System Subject to Interval Parametric Uncertainties Based on the Non-Intrusive Metamodel

Chao Fu, Guojin Feng, Jiaojiao Ma, Kuan Lu, Yongfeng Yang and Fengshou Gu
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Chao Fu: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Guojin Feng: Centre for Efficiency and Performance Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Jiaojiao Ma: Centre for Efficiency and Performance Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Kuan Lu: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Yongfeng Yang: Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Fengshou Gu: Centre for Efficiency and Performance Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK

Mathematics, 2020, vol. 8, issue 5, 1-15

Abstract: In this paper, the non-probabilistic steady-state dynamics of a dual-rotor system with parametric uncertainties under two-frequency excitations are investigated using the non-intrusive simplex form mathematical metamodel. The Lagrangian formulation is employed to derive the equations of motion (EOM) of the system. The simplex form metamodel without the distribution functions of the interval uncertainties is formulated in a non-intrusive way. In the multi-uncertain cases, strategies aimed at reducing the computational cost are incorporated. In numerical simulations for different interval parametric uncertainties, the special propagation mechanism is observed, which cannot be found in single rotor systems. Validations of the metamodel in terms of efficiency and accuracy are also carried out by comparisons with the scanning method. The results will be helpful to understand the dynamic behaviors of dual-rotor systems subject to uncertainties and provide guidance for robust design and analysis.

Keywords: dual-rotor; multi-frequency excitation; non-intrusive calculation; metamodel (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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