2015
DOI: 10.1016/j.ymssp.2015.04.006
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Determination of rolling tyre modal parameters using Finite Element techniques and Operational Modal Analysis

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Cited by 28 publications
(9 citation statements)
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“…It should be noted that this kind of oscillations (noise) is observed at the literature (e.g., Palanivelu et al, 2015).…”
Section: Figurementioning
confidence: 59%
“…It should be noted that this kind of oscillations (noise) is observed at the literature (e.g., Palanivelu et al, 2015).…”
Section: Figurementioning
confidence: 59%
“…The finite element analysis results were verified by relevant tests. Palanivelu et al [16] studied the noise generation mechanism of tires and solved the phenomenon of tire noise propagation. The modal analysis of (16)…”
Section: Radial Tire Modelingmentioning
confidence: 99%
“…There are very few studies reported in the literature which have been concentrated on the prediction of relaxation length using the finite element (FE) method although the FE method is now routinely used for various aspects of tyre static and dynamic analysis. Finite element analysis has the advantage of facilitating the investigation of the effect of tyre material and structural properties on tyre behaviour and is widely used by automotive engineers and tyre designers [7][8][9][10]. Some typical examples are: Yang et al [11,12] who investigated tyre durability properties based on the variations in carcass ply turn-up and bead reinforcement turn-up using FE method; Behroozi and Olatunbosun [13] who conducted a study on the influence of FE model complexity on aircraft tyre performance characteristics; Mohsenimanesh et al [14] who developed a nonlinear and multi-laminated tractor tyre model to investigate the pressure distribution of an off-road tyre; Guo et al [15] who developed a detailed aircraft finite element tyre model for dynamic simulations of tyre loading upon aircraft landing scenarios using rubber and fabric material properties which were characterized and correlated.…”
Section: Maurice and Pacejkamentioning
confidence: 99%