Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
754353 | Applied Acoustics | 2016 | 13 Pages |
Abstract
Bridge noise and rail noise are two major sources of an elevated rail transit bridge in the low and medium frequency range (20-1000Â Hz). However, in most of the existing literature, the noise radiated from the bridge and rail was investigated separately or using a simplified source model. In this study, an accurate method is proposed to simulate both the rail noise and bridge noise simultaneously. First, the dynamic responses of the rail and multi-span bridge are obtained using a three-dimensional (3D) vehicle-track-bridge interaction analysis model. Then, the two-dimensional (2D) infinite element model is used to calculate 3D modal acoustic transfer vectors of the rail and bridge based on the wavenumber transformation, in order to overcome the singularity and non-uniqueness of the conventional boundary element method and reduce the computation cost. Third, a field test is conducted, and the accuracy of the proposed simulation procedure is verified. Finally, the contribution of the rail and bridge noise to the total noise level is investigated in the whole space near the bridge. Generally the bridge noise occupies a higher contribution in the space beneath the girder due to the shielding effect of the bridge shape on the rail noise, while the rail noise is dominant in the upper space above the bridge. It is found the presence of the vehicle bodies has considerable effect on the rail noise but little influence on the bridge noise. The slope of the roughness level spectrum has significant influence on the dominant field of bridge noise and rail noise. For the excitation of the assumed ISO roughness level used in this study, the difference between the rail noise and bridge noise is only about 3Â dB at field points 15-30Â m away from the track center, which indicates both the bridge and rail noise should be included in the noise prediction for an elevated rail transit bridge.
Keywords
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Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
X.D. Song, Q. Li, D.J. Wu,