Numerical-experimental comparison of a parametric test-rig for crossing and veering phenomena

Bonisoli, Elvio; Brino, Marco; Delprete, Cristiana

doi:10.1016/j.ymssp.2019.03.039

Cited by 13 publications

(3 citation statements)

References 65 publications

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“…Due to tyre axial-symmetry, the eigenproblem solution produces yaw and camber modes with the same frequency (multiplicity two) and vertical and longitudinal modes with the same frequency (multiplicity two) [54]. Examples of coincident modes in the case of car and bicycle wheels are analysed e.g.…”

Section: Multiplicity and Axial-symmetrymentioning

confidence: 99%

An experimental procedure for the identification of the dynamic parameters for the rigid-ring tyre model

et al. 2023

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Several approaches have been developed over the years for the modelling of the tyre behaviour in vehicle-dynamic applications. The so-called ‘rigid-ring’ models are among the classics for the modelling of the belt dynamics. Although there are several works dealing with the vibrating properties of tyres, the problem of the identification of the related rigid-ring model parameters has not been described other than qualitatively or partially. The aim of this work is thus to fill this gap and to devise a procedure for the experimental characterisation of such parameters, namely the frequency and damping of the in-plane and out-of-plane belt vibration modes as well as the associated masses and inertias. An experimental modal analysis (EMA) approach is employed, which involves an instrumented hammer combined with three-axial accelerometers roving on 16 stations equally spaced along the tyre circumference. The method is numerically demonstrated on the finite-element models of a motorcycle tyre and a car tyre. The approach is also experimentally validated on a real tyre. The rigid-ring vibration modes of the motorcycle tyre are in the range 70–220 Hz, while those of the car tyre are in the range 51–85 Hz. The ratios of the mass/inertia of the rigid ring to the mass/inertia of the tyre are in the range 40–87% and 68–74% for the motorcycle and car respectively.

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Section: Multiplicity and Axial-symmetrymentioning

confidence: 99%

An experimental procedure for the identification of the dynamic parameters for the rigid-ring tyre model

et al. 2023

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“…3 (b) that the modal damping ratios of the system change in the frequency veering zone, in which the reduction of the modal damping ratio means a decrease of the system stability. In the frequency veering zone, the modal shape of the system also changes, which is easily manifested as the coupling form of the two modal shapes before or after veering [2,26]. In order to quantify the changes of the two modal shapes in the frequency veering process, MAC between the initial modal shape and the modal shape during frequency veering can be measured [48]:…”

Section: Frequency Veering Of Simple Mechancial Systemmentioning

confidence: 99%

“…Giannini et al [25] took the simple machine system as the research object and conducted experimental analysis on frequency veering, crossing, and lock-in phenomena. Bonisoli et al [26] also made a numerical-experimental comparison of a parametric test rig for crossing and veering phenomena.…”

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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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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Parametric Analysis and Voltage Generation Performance of a Multi-directional MDOF Piezoelastic Vibration Energy Harvester

Varoto

Bonisoli

Lisitano

2020

Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting &Amp; Dynamic Environments Testing, Volume 7

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Numerical-experimental comparison of a parametric test-rig for crossing and veering phenomena

Cited by 13 publications

References 65 publications

An experimental procedure for the identification of the dynamic parameters for the rigid-ring tyre model

An experimental procedure for the identification of the dynamic parameters for the rigid-ring tyre model

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

Parametric Analysis and Voltage Generation Performance of a Multi-directional MDOF Piezoelastic Vibration Energy Harvester

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