Experimental Validation of the Twins Prediction Program for Rolling Noise, Part 2: Results

Thompson, D.J.; Fodiman, Pascal; Mahé, Hervé

doi:10.1006/jsvi.1996.0253

Cited by 138 publications

(112 citation statements)

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“…In Figures 3.4 and 3.5, the results obtained from this study are compared with the results from the track model in TWINS (Thompson et al, 1996b), presented by Jones (2005). Both results use a Timoshenko beam model but in TWINS two springs and an intermediate mass are used to represent the foundation.…”

Section: Figure 32: Comparison Of Real Part Of Wavenumber Between Timentioning

confidence: 95%

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A methodology for developing high damping materials with application to noise reduction of railway track

Ahmad

2009

The Journal of the Acoustical Society of America

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For application in damping treatments, elastomeric materials should have a high damping loss factor, but this is inevitably linked to a strong temperature-dependence of the dynamic properties. A methodology is developed that allows a material to be formulated for a particular damping application where temperature-dependence has to be taken into account. The methodology is applied to the case of a tuned absorber system used for damping the vibration of a railway track. This is required to be effective over a temperature range -20 to 40 .To investigate the effect of the temperature on the performance of a rail damper, a simple Timoshenko beam model of the track vibration is used, to which are added single-frequency and dual-frequency tuned absorbers. The results show that a high noise reduction can be achieved for the optimum stiffness, provided that the loss factor is between about 0.25 and 0.4.In order to study the generic effects of high damping versus constant stiffness, the time-temperature superposition principle is used to convert frequency-dependence to temperature-dependence for a notional material with constant loss factor. This is used in the prediction of decay rates and thereby noise reduction. In addition, a weighted noise reduction is studied by using measured rail temperature distributions. This temperatureweighted noise reduction allows a single number measure of performance to be obtained which can be used to assess various elastomeric materials in order to determine the optimum material for a given situation.Two types of viscoelastic material, butyl and EPDM rubbers with various amount of fillers and plasticisers are investigated. The properties of both rubbers have been measured over the range of temperatures for frequencies 300-3000 Hz. For this a test rig had to be modified. For butyl, the best combination of filler and plasticiser gives temperature weighted noise reductions up to 5.9 dB(A). Butyl rubber is suitable for use in the rail absorber giving high noise reductions between 0 and 40 . The best EPDM compound gives a temperature-weighted noise reduction up to 6.2 dB(A). Comparing these two rubbers, EPDM is more suitable for low temperatures below 10 and butyl is more suitable for higher temperatures above 10 .

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Section: Figure 32: Comparison Of Real Part Of Wavenumber Between Timentioning

confidence: 95%

“…In order to study rolling noise, a theoretical model has been developed which has been implemented in the computer program TWINS (Track-Wheel Interaction Noise Software package) (Thompson et al, 1996b) and (Thompson et al, 1996a). (Thompson et al, 1996b).…”

Section: Railway Noisementioning

confidence: 99%

A methodology for developing high damping materials with application to noise reduction of railway track

Ahmad

2009

The Journal of the Acoustical Society of America

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“…It uses a similar conformation to the track-wheel interaction noise software (TWINS) (Thompson et al, 1996a;1996b), but adds the ballastless track model of high-speed railway (Wu, 2012). Fig.…”

Section: Theory Of Wheel/rail Rolling Noise Predictionmentioning

confidence: 99%

“…The wheel data is analyzed using the wheel finite element (FE) model based on the commercial ANSYS. The wheel/rail combined roughness is calculated using the method described in (Thompson et al, 1996a;1996b). The rail roughness is the Class A selected from the HARMONOISE project (van Beek and Verheijen, 2003).…”

Section: Theory Of Wheel/rail Rolling Noise Predictionmentioning

confidence: 99%

Effect of the first two wheelset bending modes on wheel-rail contact behavior

Zhang

Han

Xiao

et al. 2014

JZUS-A

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This work presents a detailed investigation conducted into the relationships between wheel polygonal wear and wheel/rail noise, and the interior noise of high-speed trains through extensive experiments and numerical simulations. The field experiments include roundness measurement and characteristics analysis of the high-speed wheels in service, and analysis on the effect of re-profiling on the interior noise of the high-speed coach. The experimental analysis shows that wheel polygonal wear has a great impact on wheel/rail noise and interior noise. In the numerical simulation, the model of high-speed wheel/rail noise caused by the uneven wheel wear is developed by means of the high-speed wheel-track noise software (HWTNS). The calculation model of the interior noise of a high-speed coach is developed based on the hybrid of the finite element method and the statistic energy analysis (FE-SEA). The numerical simulation analyses the effect of the polygonal wear characteristics, such as roughness level, polygon order (or wavelength), and polygon phase, on wheel/rail noise and interior noise of a high-speed coach. The numerical results show that different polygon order with nearly the same roughness levels can cause different wheel/rail noises and interior noises. The polygon with a higher roughness level can cause a larger wheel/rail noise and a larger interior noise. The combination of different polygon phases can make a different wheel circle diameter difference due to wear, but its effect on the interior noise level is not great. This study can provide a basis for improving the criteria for high-speed wheel re-profiling of China's high-speed trains.Key words: High-speed train, Wheel polygonal wear, Wheel re-profiling, Interior noise, Wheel/rail noise, Hybrid finite element method and the statistic energy analysis (FE-SEA)

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“…Subsequently, Thompson [3] extended this basic model to include other features that were found to be significant. This was implemented in the TWINS (Track-Wheel Interaction Noise Software) package [3] which was validated through field tests [4,5]. It has been found the sleeper radiation is the dominant component at low frequency, the rail radiation is important between 400 and 2000 Hz and the wheel radiation is significant at high frequency.…”

Section: Introductionmentioning

confidence: 99%

Sound radiation from railway sleepers

Zhang

Thompson

Squicciarini

2016

Journal of Sound and Vibration

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The sleepers supporting the rails of a railway track are an important source of noise at low frequencies. The sound radiation from the sleepers has been calculated using a threedimensional boundary element model including the effect of both reflective and partially absorptive ground. When the sleeper flexibility and support stiffness are taken into account, it is found that the radiation ratio of the sleeper can be approximated by that of a rigid half-sleeper.When multiple sleepers are excited through the rail, their sound radiation is increased. This effect has been calculated for cases where the sleeper is embedded in a rigid or partially absorptive ground. It is shown that it is sufficient to consider only three sleepers in determining their radiation ratio when installed in track. At low frequencies the vibration of the track is localised to the three sleepers nearest the excitation point whereas at higher frequencies the distance between the sleepers is large enough for them to be treated independently.Consequently the sound radiation increases by up to 5 dB below 100 Hz compared with the result for a single sleeper whereas above 300 Hz the result can be approximated by that for a single sleeper. Measurements on a 1/5 scale model railway track are used to verify the numerical predictions with good agreement being found for all configurations.

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Experimental Validation of the Twins Prediction Program for Rolling Noise, Part 2: Results

Cited by 138 publications

References 0 publications

A methodology for developing high damping materials with application to noise reduction of railway track

A methodology for developing high damping materials with application to noise reduction of railway track

Effect of the first two wheelset bending modes on wheel-rail contact behavior

Sound radiation from railway sleepers

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