2020
DOI: 10.1177/0954409720923213
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Theoretical investigation into the measurability of rail unevenness and corrugation using the dynamic response of axle box and bogie

Abstract: Monitoring track unevenness is important for noise and vibration control and track maintenance. Rail corrugation and shorter wavelength track unevenness can be measured using the corrugation analysis trolley, but it is not suitable for measurement over long distance. It is of great significance to study the dynamic behavior of the response of the axle box and bogie to the unevenness excitation for a better understanding of the measurement results. In this paper, the dynamic response of the axle box and bogie t… Show more

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Cited by 5 publications
(2 citation statements)
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References 20 publications
(36 reference statements)
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“…1. The first set of line section is a circular curve with a curve radius of 30 m. There is corrugation on both the inner and outer rails of the line, with a wavelength of 40 mm and a wave depth of 0.06 mm measured by the Corrugation Analysis Trolley (the validity of this method has been widely verified [27,28]), and the overall length of corrugation is about 20 m. The field picture of rail corrugation is shown in Fig. Period.…”
Section: Field Investigation Of Rail Corrugationmentioning
confidence: 99%
“…1. The first set of line section is a circular curve with a curve radius of 30 m. There is corrugation on both the inner and outer rails of the line, with a wavelength of 40 mm and a wave depth of 0.06 mm measured by the Corrugation Analysis Trolley (the validity of this method has been widely verified [27,28]), and the overall length of corrugation is about 20 m. The field picture of rail corrugation is shown in Fig. Period.…”
Section: Field Investigation Of Rail Corrugationmentioning
confidence: 99%
“…Li et al [24] created an automated detection algorithm and validated its potential for using acceleration from axle boxes to detect rail corrugation, as per on-site observations. Wang et al [25] examined various interactions between wheel and rail, studying the dynamic response of axle boxes and bogies to non-uniform excitation within the frequency domain. Xie et al [26] developed an innovative convolutional regression model, RCNet, driven by data to achieve quantitative detection of rail corrugation.…”
Section: Introductionmentioning
confidence: 99%