2020
DOI: 10.1016/j.engstruct.2020.110734
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A numerical and experimental investigation of a special type of floating-slab tracks

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Cited by 23 publications
(12 citation statements)
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“…where X is the amplitude vector of the displacement. After substitution of Equations (10) and (9), one obtains…”
Section: Receptancementioning
confidence: 99%
See 1 more Smart Citation
“…where X is the amplitude vector of the displacement. After substitution of Equations (10) and (9), one obtains…”
Section: Receptancementioning
confidence: 99%
“…In railway engineering, receptance (displacement frequency response function) or mobility (velocity frequency response function) of railway tracks have been studied both theoretically and experimentally in a detailed manner for different track systems, e.g. conventional ballasted tracks [4][5][6] and slab tracks [7][8][9][10] without considering the vehicle effects. The track receptance is normally obtained considering one wheel-rail contact point except [11] in which the cross point receptances, namely the responses of the rail under different wheelsets excited by a harmonic point load under a specific wheelset were analysed.…”
Section: Introductionmentioning
confidence: 99%
“…The vibration sources of the metro concern the whole vehicle–track–foundation system. It has been found that vehicle and track damping measures, such as dampers on the wheels [ 6 ] and rails [ 7 ], elastic clips [ 8 ], ladder slabs [ 9 ] and embedded [ 10 ] and floating slab tracks with damping pads [ 11 , 12 , 13 , 14 ] and steel springs [ 15 ], etc., can have a significant impact on the vibration levels and frequency characteristics. Besides the variation of track structures, the track condition is also an important influencing factor that cannot be ignored.…”
Section: Introductionmentioning
confidence: 99%
“…While the condition assessment and health monitoring of rotating machinery have been an area of substantial research over a number of decades, there has been relatively more focus on early detection of damage with real-time methodologies. Vibration-based defect/anomaly detection utilizing acceleration data, as in many other applications [10][11][12][13][14][15][16], has been found to be an effective way to detect, locate, and quantify defects in rotating machinery. In addition to the existing model-based methods (involving classical physics) and data-driven methods [17][18][19][20][21] (involving feature extraction and classification) available in the literature, machine learning-based methods have been recently in use for bearing defect detection.…”
Section: Introduction and Overview Of One-dimensional Cnnsmentioning
confidence: 99%