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高速铁路桥梁声屏障插入损失五声源预测模式研究
引用本文:胡文林,胡叙洪,齐春雨,王少林.高速铁路桥梁声屏障插入损失五声源预测模式研究[J].铁道标准设计通讯,2016(4):118-124.
作者姓名:胡文林  胡叙洪  齐春雨  王少林
作者单位:铁道第三勘察设计院集团有限公司轨道交通勘察设计国家地方联合工程实验室;西南交通大学牵引动力国家重点实验室
基金项目:国家“863”计划课题(2011AA11A103);天津市企业博士后创新项目择优资助计划资助课题
摘    要:研究一种高速铁路桥梁声屏障插入损失的五声源预测模式,可应用于时速300 km以上高速铁路声屏障声学设计。对高速铁路噪声源进行现场辨识测试,分析其声源特性,将高速铁路噪声源简化为轮轨区、车体下部、车体上部、集电系统、桥梁结构5个等效噪声源。根据单声源模式的声屏障插入损失预测公式,结合不同车速下声源等效频率和噪声贡献量,同时考虑桥梁翼板对声传播的影响,形成五声源模式的声屏障插入损失预测公式。采用该方法计算2.15 m声屏障插入损失并与现场测试数据对比,结果显示距离线路25~50 m处受声点插入损失预测结果与实测结果吻合度最高。

关 键 词:高速铁路  声屏障  插入损失  五声源模式  预测公式

Five-noise-source Model for Predicting Insertion Loss of Noise Barrier on High Speed Railway Bridge
HU Wen-lin;HU Xu-hong;QI Chun-yu;WANG Shao-lin.Five-noise-source Model for Predicting Insertion Loss of Noise Barrier on High Speed Railway Bridge[J].Railway Standard Design,2016(4):118-124.
Authors:HU Wen-lin;HU Xu-hong;QI Chun-yu;WANG Shao-lin
Affiliation:HU Wen-lin;HU Xu-hong;QI Chun-yu;WANG Shao-lin;National and Local Joint Engineering Laboratory of Rail Traffic Survey and Design,The Third Railway Survey and Design Institute Group Corporation;State Key Laboratory of Tract Power,Southwest Jiaotong University;
Abstract:This paper studies the five noise sources model for predicting insertion loss of noise barriers on high speed railway bridge. The model can be used for acoustical design of noise barriers for high speed railway above 300 km / h. By noise identification test and analysis,the noise sources are simplified to five effective sources,including wheel / track area,lower part of vehicle,upper part of vehicle,current collecting system and bridge structure. Based on single source model for predicting insertion loss of noise barrier,the formula for five sources model prediction is formed considering the source effective frequency and noise contribution and the effect of wing plate of the bridge on sound propagation. This method is used to calculate the insertion loss of 2. 15 m noise barrier and compare the results with site measurements. The results show that the predicted values best match the measurements at the noise receiving points 25 to 50 m away from the railway line.
Keywords:high speed railway  Noise barrier  Insertion loss  Five sources model  Prediction formula
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