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基于fluent的高速列车受电弓主被动整体降噪研究
引用本文:袁贤浦,袁丁,汤路,王雪明.基于fluent的高速列车受电弓主被动整体降噪研究[J].智能计算机与应用,2021,11(2):149-154.
作者姓名:袁贤浦  袁丁  汤路  王雪明
作者单位:上海工程技术大学 城市轨道交通学院,上海201620
基金项目:上海工程技术大学研究生科研创新项目
摘    要:针对高速列车气动噪声越来越大的问题,本文以高速列车某车型为参考建立1:1受电弓区域局部模型,基于宽频带噪声源模型、LES大涡模拟及FW-H声学模型,运用弓头仿生降噪和底部空腔主动射流降噪的整体降噪措施,采用数值模拟法研究高速列车受电弓区域的降噪效果。结果表明:受电弓弓头和底部空腔是气动噪声的主要来源;降噪后,主要噪声源的声功率级都有了较大降幅,其中弓头和空腔部位分别降低了15.28 d B和16.92 d B;中高楼层住宅处的降噪效果更佳,最大声压级降低位置在距地面18 m高处(距受电弓25 m远处),降低了4.94 d BA;远场声压级在低频区域降噪效果更为显著,特别是在800 Hz位置声压级降幅最大,降低了8.21 d BA。

关 键 词:高速列车  气动噪声  受电弓  大涡模拟  仿生降噪  主动射流降噪

Study on active and passive cooperative noise reduction of high-speed train's pantograph based on fluent
YUAN Xianpu,YUAN Ding,TANG Lu,WANG Xueming.Study on active and passive cooperative noise reduction of high-speed train's pantograph based on fluent[J].INTELLIGENT COMPUTER AND APPLICATIONS,2021,11(2):149-154.
Authors:YUAN Xianpu  YUAN Ding  TANG Lu  WANG Xueming
Affiliation:(School of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)
Abstract:In view of the increasing aerodynamic noise of high-speed train,a 1:1 local model of pantograph area is established based on a high-speed train model.Based on the broadband noise source model,large eddy simulation and FW-H acoustic model,the whole noise reduction measures of pantograph head bionic structure optimization and bottom cavity active jet are used to study the noise reduction of high-speed train pantograph area effect.The results show that:the pantograph head and bottom cavity are the main sources of aerodynamic noise;after noise reduction,the sound power levels of the main noise sources are reduced by 15.28 dB and 16.92 dB respectively;the noise reduction effect of medium and high rise buildings is better,and the maximum sound pressure level is reduced by 4.94 dBA at 18 m above the ground(25 m away from the pantograph);the noise reduction effect of far-field sound pressure level is more significant in low-frequency region,especially at 800 Hz position,the largest reduction is 8.21 dBA.
Keywords:high speed train  aerodynamic noise  pantograph  large eddy simulation  bionic noise reduction  jet noise reduction
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