Response prediction and optimization of a rotor with variable stiffness supports based on pseudo-steady approximation

The flexible rotor of an aero-engine must pass through several critical speeds within its working speed range, but its reliability can be compromised by intense vibration caused by the resonance at these critical speeds. A novel method for reducing multiple resonant peaks of a flexible rotor is explored based on multiple supports of variable stiffness in this paper. Firstly, to determine the optimal stiffness change path of these supports, a pseudo-steady approximation method (PSAM) considering the influence of support stiffness change rate is proposed for predicting time-domain responses based on frequency-domain calculations. This approach has a definite advantage in time-domain solutions as it is less time-consuming. Then, to verify the effectiveness of the PSAM, time-domain simulations are conducted, which yielded highly consistent results with the PSAM calculation results with the Structural Similarity Index (SSIM) up to 93.7%. Finally, with the assistance of the PSAM, the Dijkstra algorithm was used to identify the most efficient path of variable stiffness for controlling multiple resonant peaks of a flexible rotor. A rotor test was carried out utilizing variable stiffness supports which are made of shape memory alloy (SMA) springs. The efficiency of the optimal variable stiffness path acquired through PSAM was verified through testing, which demonstrated that displacement can be reduced by up to 70.8%.

Authors

Institutions

Publication Details

Journal
Journal of Vibration and Control
Published
2024-09-06
DOI
https://doi.org/10.1177/10775463241276246
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Response prediction and optimization of a rotor with variable stiffness supports based on pseudo-steady approximation

Shanhu Yuan, Zhigang Jia, Fuyi Jin, Chaoping Zang et al.
1 citations
Journal of Vibration and Control
Structural Health Monitoring Techniques
0.26
article

Response prediction and optimization of a rotor with variable stiffness supports based on pseudo-steady approximation

Shanhu Yuan, Zhigang Jia, Fuyi Jin, Chaoping Zang, Yuxiang Ma, Guangzhen Xing
article en
1 citations

Abstract

The flexible rotor of an aero-engine must pass through several critical speeds within its working speed range, but its reliability can be compromised by intense vibration caused by the resonance at these critical speeds. A novel method for reducing multiple resonant peaks of a flexible rotor is explored based on multiple supports of variable stiffness in this paper. Firstly, to determine the optimal stiffness change path of these supports, a pseudo-steady approximation method (PSAM) considering the influence of support stiffness change rate is proposed for predicting time-domain responses based on frequency-domain calculations. This approach has a definite advantage in time-domain solutions as it is less time-consuming. Then, to verify the effectiveness of the PSAM, time-domain simulations are conducted, which yielded highly consistent results with the PSAM calculation results with the Structural Similarity Index (SSIM) up to 93.7%. Finally, with the assistance of the PSAM, the Dijkstra algorithm was used to identify the most efficient path of variable stiffness for controlling multiple resonant peaks of a flexible rotor. A rotor test was carried out utilizing variable stiffness supports which are made of shape memory alloy (SMA) springs. The efficiency of the optimal variable stiffness path acquired through PSAM was verified through testing, which demonstrated that displacement can be reduced by up to 70.8%.

Journal of Vibration and ControlVol. 31(17-18)
Aero Engine Corporation of China (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 45%
Structural Health Monitoring Techniques
0.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.