Abstract
Railway rolling noise prediction models often consists of three parts, the vehicle, the track and the contact part. The finite contact area is known to have a filtering effect of surface roughness excitation, of which the wavelengths comparable or shorter than the contact length tends to filtered. Both analytic and numerical models are available to process the measured roughness to take account of this filtering effect on rolling noise. However, the analytical models offer physical insights but only give coarse approximation while the numerical models are much more detailed but too computational demanding for practical usage. Here in this paper a practical approach using 2-D FFT is studied intending to fill this gap. By regarding the surface curvatures of wheel and rail as profile window and considering the weighting effect at different positions within this window, the contact filtering can be considered as a weighted moving windowing process and can be studied using 2-D FFT. By using 2-D FFT, the window shape, size and weighting can be varied easily for different cases. This is shown to be a very straightforward and practical approach, as compared to both analytical and 3D contact methods.
Original language | English |
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Publication status | Published - 2015 |
Event | 44th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2015 - San Francisco, United States Duration: 9 Aug 2015 → 12 Aug 2015 |
Conference
Conference | 44th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2015 |
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Country/Territory | United States |
City | San Francisco |
Period | 9/08/15 → 12/08/15 |
Bibliographical note
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