2014
DOI: 10.1080/23248378.2014.897792
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Prediction of wheel and rail profile wear on complex railway networks

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Cited by 9 publications
(5 citation statements)
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References 21 publications
(37 reference statements)
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“…Only taking the static load and geometric shape of wheel tread into account, the same studies were done [8,9]. A model for evaluating wheel and rail profile evolution due to wear developed for complex railway networks was presented [10], in which the model layout was composed of two mutually interacting but separate parts: A vehicle model for the dynamical simulations and a unit for wear computation. Based on the theory of vehicle-track coupled dynamics, a three-dimensional spatial model was established [11], and the mechanism of the rail corrugation was analyzed.…”
Section: Introductionmentioning
confidence: 99%
“…Only taking the static load and geometric shape of wheel tread into account, the same studies were done [8,9]. A model for evaluating wheel and rail profile evolution due to wear developed for complex railway networks was presented [10], in which the model layout was composed of two mutually interacting but separate parts: A vehicle model for the dynamical simulations and a unit for wear computation. Based on the theory of vehicle-track coupled dynamics, a three-dimensional spatial model was established [11], and the mechanism of the rail corrugation was analyzed.…”
Section: Introductionmentioning
confidence: 99%
“…Innocenti et al. 24 developed a wheel and rail profile evolution model for complex railway networks and used a statistical approach for the railway track description. Wu et al.…”
Section: Introductionmentioning
confidence: 99%
“…Innocenti et al. 15 presented a model for evaluating wheel and rail profile evolution due to wear developed for complex railway networks. In order to achieve general significant accuracy results in reasonable computational effort, a suitable statistical approach for the railway track description was used, aimed at studying complex railway lines.…”
Section: Introductionmentioning
confidence: 99%