Coupling vibration behaviors of drum-disk-shaft structures with elastic connection

Li, Chaofeng; Tang, Qiansheng; Chenyang, Xi; Zhong, Bingfu; Wen, Bangchun

doi:10.1016/j.ijmecsci.2019.03.014

Cited by 29 publications

(5 citation statements)

References 31 publications

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“…The values of MAC (9,9), MAC (11,11), MAC (10,10), and MAC (15,15) decrease continuously after passing through the frequency veering zone, indicating that their modal shapes no longer exist as similar to the original modal shapes. On the contrary, the values of MAC (9,11), MAC (11,9), MAC (10,15), and MAC (15,10) continue to increase after passing through the veering zone, which indicates that for the two modes that undergo frequency veering, the modal shape of one mode before veering has high similarity with the modal shape of the other mode after veering. In other words, there is an interchange between the 9th-order and 11th-order modal shapes, as well as between the 10th-order and 15th-order modal shapes.…”

Section: Based On Table 2 and Tablementioning

confidence: 99%

“…Chan et al [8] discussed the mode localization and frequency veering in disordered engineering structures based on the simplified aircraft model. Li et al [9] studied the frequency veering of drum-disk-shaft structures with elastic connections in the aero-engine rotor system. Modal coupling is a vital issue in studying the vibration characteristics of bladed disks in the aero-engine.…”

Section: Introductionmentioning

confidence: 99%

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Frequency veering of railway vehicle systems and its mapping to vibration characteristics

Liu,

Gong,

Zhou

2023

Preprint

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Frequency veering is a phenomenon that occurs during the process of modal parameter changes, which is closely related to the response characteristics of the system. Firstly, take the system with simple DOFs as the research object, the variations of modal damping ratio and modal shape in the process of frequency veering are analyzed, and the criterion for identifying frequency veering is preliminarily proposed. Then, to explore the modal evolution of complex vehicle systems with multiple DOFs, an adaptive modal continuous tracking algorithm based on local search algorithm is proposed using the Euclidean closeness of complex modal shapes as an index. The frequency veering phenomenon is analyzed with the established vehicle system dynamics model (Model Ⅰ) and reproduced through the SIMPACK model for multi-body dynamics simulation (Model Ⅱ). The perturbation method is used to analyze the mechanism of the vehicle system eigenvectors being prone to mutations during frequency veering, and the abnormal changes of the modal shapes in the process of frequency veering are further verified. In addition, two quantitative indexes for identifying frequency veering are proposed based on the modal assurance criterion (MAC) and modal shape similarity (MSS). Finally, the mapping relationship between frequency veering and vehicle system response characteristics is explored. The results indicate that before and after frequency veering, the modal shapes interchange, and in the frequency veering zone, the damping-hopping phenomenon also occurs, resulting in a significant decrease in system stability. Corresponding to the phenomena of modal damping ratios and modal shapes, the motion morphology of the vehicle system is clearly observable, and the DOF response of the car body and bogie is obviously increased, which is also manifested in the increase of the vibration of the car body and the bogie and the deterioration of the vehicle ride quality.

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Section: Based On Table 2 and Tablementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency veering of railway vehicle systems and its mapping to vibration characteristics

Liu,

Gong,

Zhou

2023

Preprint

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“…22 In this study, C, S and F represent clamped, simply supported and free boundary conditions, respectively. The other terms of the orthogonal polynomials can be obtained by the following process: 22 , 43–46 where…”

Section: Theoretical Formulationmentioning

confidence: 99%

“…The characteristic orthogonal polynomials, obtained by the Gram-Schmidt orthogonalization process, can satisfy various geometric boundary conditions. 22,[43][44][45][46] Owing to the perfect property of the polynomials, the more natural characteristics can be accurately predicted by the proposed model. Furthermore, to improve calculation efficiency and obtain satisfactory results, the number of orthogonal polynomials used in the numerical simulations can be determined according to the need of calculation precision.…”

Section: Introductionmentioning

confidence: 99%

Free vibration analysis of rotating thin-walled cylindrical shells with hard coating based on Rayleigh-Ritz method

Sun

Yan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper focuses on the free vibration analyses of the rotating hard-coating cylindrical shells with various boundary conditions and the effects of hard coating on the vibration behaviors of the rotating shells. To accurately predict more natural characteristics, the characteristic orthogonal polynomials are taken as the admissible displacement functions. Considering the influences of Coriolis force, centrifugal force and initial hoop tension caused by rotation, the equations of motion of the shells are established by the use of the Rayleigh-Ritz method. Based on the state vector method, an efficient method is developed to solve the equations. By comparing with the results of both the finite element analysis and published literatures, the high accuracy and good convergence of the proposed model are verified. In addition, the effects of the boundary conditions, parameters of hard coating, rotating speed and number of circumferential waves on the vibration behaviors of the hard-coating shells are evaluated. This study may provide a reference for the application of hard-coating damping treatment to the vibration suppression of rotating thin-walled structures.

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“…e relative maturity of vibration testing methods makes fault diagnosis methods based on vibration analysis effective for popularization and application [5]. Some scholars have studied the vibration characteristics of the aeroengine through experiments and numerical methods, such as Minh Hai and Bonello [6,7] proposed a method suitable for solving the dynamic response of the high-dimensional complex rotor system in the time and frequency domain, established the complex finite element model of double rotor and three rotor engines, and studied the vibration response characteristics of the aeroengine under multifrequency excitation; to monitor the rolling bearing operating status with casings in real time efficiently and accurately, Yan-Ting [8] proposed a fusion method based on n-dimensional characteristic parameters' distance (n-DCPD) for rolling bearing fault diagnosis with two types of signals including vibration signal and acoustic emission signals; Pennacchi et al [9] proposed a self-adaptive rotor system imbalance recognition method, which can effectively avoid the problem of weight coefficient selection when using the least square method to recognize imbalance; Williams [10] carried out the modeling of the blade-casing rubbing fault, established a detailed model of the wear of the inner bushing of the casing in the model, and verified the applicability of the model; Li et al [11] established the dynamic model of the drum-disk-shaft structure and studied the effects of support stiffness, coupling stiffness, and rotating speed on vibration behaviours of the system on the basis of considering the elastic support, flexible connection, and the Coriolis and centrifugal effects on the drum due to the rotation. However, in the practical engineering application, the actual state of each engine is very different, and the performance degradation rate is also different in the use process, so the prediction accuracy of the model may not reach the ideal level.…”

Section: Introductionmentioning

confidence: 99%

Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework

Liu

Feng

et al. 2021

Shock and Vibration

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In order to improve the accuracy and calculation efficiency of aeroengine rotor vibration reliability analysis, a time-varying rotor vibration reliability analysis method under the aeroengine operating state is proposed. Aiming at the highly nonlinear and strong coupling of factors affecting the reliability of aeroengine rotor vibration, an intelligent neural network modeling framework (short form-INNMF) is proposed. The proposed method is based on DEA, with QAR information as the analysis data, and four factors including engine working state, fuel/oil working state, aircraft flight state, and external conditions are considered to analyse the rotor vibration reliability. INNMF is based on the artificial neural network (ANN) algorithm through improved particle swarm optimization (PSO) algorithm and Bayesian Regularization (BR) optimization. Through the analysis of the rotor vibration reliability of the B737-800 aircraft during a flight mission from Beijing to Urumqi, the time-varying rotor vibration reliability was obtained, which verified the effectiveness and feasibility of the method. The comparison of INNMF, random forest (RF), and ANN shows that INNMF improves analysis accuracy and calculation efficiency. The proposed method and framework can provide useful references for aeroengine rotor vibration analysis, special treatment, maintenance, and design.

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Coupling vibration behaviors of drum-disk-shaft structures with elastic connection

Cited by 29 publications

References 31 publications

Frequency veering of railway vehicle systems and its mapping to vibration characteristics

Frequency veering of railway vehicle systems and its mapping to vibration characteristics

Free vibration analysis of rotating thin-walled cylindrical shells with hard coating based on Rayleigh-Ritz method

Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework

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