2008
DOI: 10.1080/00423110801935871
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Assessing track geometry quality based on wavelength spectra and track–vehicle dynamic interaction

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Cited by 33 publications
(24 citation statements)
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“…For example, defects in the range D1 influence not only the resonance phenomena in sprung masses, but also semi-sprung masses of the vehicles and significantly contribute to situations of track degradation. This aspect is well documented in the literature [2][3][4]13] and was clearly demonstrated in a recent numerical parametric study carried out by the authors [30].…”
Section: Track Geometrymentioning
confidence: 75%
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“…For example, defects in the range D1 influence not only the resonance phenomena in sprung masses, but also semi-sprung masses of the vehicles and significantly contribute to situations of track degradation. This aspect is well documented in the literature [2][3][4]13] and was clearly demonstrated in a recent numerical parametric study carried out by the authors [30].…”
Section: Track Geometrymentioning
confidence: 75%
“…While previous studies addressed the influence of the vertical stiffness on the degradation of the track [26], others did not take into account adequate representation of the variable conditions of the substructure, used a simplified numerical representation of the track substructure [14,[27][28][29]. Only a few studies seem to have focused on the relationship between the wavelength and amplitude of the defects and the track degradation or train-track interaction [3,13], though without accounting for the influence of the variable characteristics of the substructure. Questions of how changes in the physical and mechanical characteristics of the track superstructure and substructure -track discontinuities -influence the evolution of track geometry defects and how different wavelengths and amplitudes of these defects affect degradation, running safety and ride comfort are rarely addressed in the literature.…”
Section: Introductionmentioning
confidence: 99%
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“…Li, Berggren, Berg, Persson, 2008;Berggren, Li, Sp€ a annar, 2008;Vermeij, de Graaf, van Ginkel, 2006). …”
Section: State Of the Art Methodsunclassified
“…In this context, the track irregularities may be introduced in the computational models as stochastic data characterized by the power spectral density [8,14,15,23,24].…”
Section: The Alignment Representation In Computational Modelsmentioning
confidence: 99%