• CN:11-2187/TH
  • ISSN:0577-6686

›› 2013, Vol. 49 ›› Issue (10): 14-19.

• 论文 • 上一篇    下一篇

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高速铁路声屏障降噪效果预测及其验证

周信;肖新标;何宾;张捷;赵悦;韩珈琪;金学松   

  1. 西南交通大学牵引动力国家重点实验室
  • 发布日期:2013-05-20

Numerical Model for Predicting the Noise Reduction of Noise Barrier of High Speed Railway and Its Test Validation

ZHOU Xin;XIAO Xinbiao;HE Bin;ZHANG Jie;ZHAO Yue;HAN Jiaqi;JIN Xuesong   

  1. Traction Power State Key Laboratory, Southwest Jiaotong University
  • Published:2013-05-20

摘要: 高速铁路对沿线居民的噪声污染日益受到关注,在线路两侧设置声屏障是降低车外噪声的有效措施。基于边界元理论,利用高速列车车外声源现场试验识别结果,建立考虑车体和轨道结构的高速铁路声屏障降噪效果预测模型,利用其计算无声屏障情况下车外声场特性和通用声屏障插入损失,并分别与试验结果进行对比分析。结果表明理论模型的预测结果与试验结果较吻合,在距轨道25 m远测点,预测结果和试验结果仅相差1.3 dB(A);该模型能够较好地预测不同车型和不同速度下的车外噪声特性。利用该模型对目前安装的通用型声屏障在30 m处测点进行性能预测,2.15 m高声屏障插入损失达到7 dB(A),如声屏障的高度增加0.5 m的话,插入损失增加约1~2 dB(A),列车运行速度增加,声屏障插入损失降低。声屏障的插入损失随着频率增高而增大,对1 000 Hz以上的高频噪声效果最为明显。

关键词: 高速铁路噪声, 声传播, 声屏障, 预测模型

Abstract: In recent years, more and more people pay attentions to high-speed railway noise problem. It is very effective to solve the problem by mounting the noise barrier at the sides of the track. A numerical model based on boundary element method is established to calculate the insertion loss of the noise barriers, combined with the noise sources of high-speed train obtained by the Beamforming noise source identification system. The numerical model is also used to predict the sound fields along with the viaduct with and without the noise barriers when a high-speed train passes by the measure points at different speeds. There is a good agreement between the numerical and experimental results. The numerical results show that, at the field point of 25 m from the track, the difference between the predicted result and experiment result is only 1.3 dB(A). At the measure point of 30 m far from the track, the insertion loss reaches 7 dB(A) for a 2.15 high noise barrier and increases by 1¬¬-2 dB(A) with an increase of 0.5 m in its height. The insertion loss decreases as the traveling speed goes up. The noise reduction becomes large after 1 000 Hz.

Key words: High-speed railway noise, Noise barrier, Prediction model, Sound propagation

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