Noise Prediction and Material Selection Method of High-speed Train Based on Psychoacoustics

  • LI Ye ,
  • WANG Ruiqian ,
  • XU Qiuting ,
  • WANG Jiazheng ,
  • ZHANG Xuefei ,
  • CHU Yuxia
Expand
  • 1. School of Urban Rail Transit, Changzhou University, Changzhou 213164;
    2. Southwest Jiaotong University Changzhou Institute of Railtransport, Changzhou 213164

Received date: 2017-05-05

  Revised date: 2018-03-20

  Online published: 2018-06-20

Abstract

In this paper, in order to improve the interior sound field environment of high-speed train, preferably select the best roof structure material selection scheme, the roof structure of high-speed train is studied. Besides, sound insulation performance of the roof, internal noise of the passenger train and psychoacoustics are linked, which proposes the noise prediction and material selection method in high-speed train based on psychoacoustics. It helps to come to the following conclusions:Firstly, compared to the A-weighted sound level, the evaluation method of vehicle interior noise basing on the objective parameters of psychoacoustics can not only reflect the subjective feelings of the ear more reasonably but also preferably select the best roof structure material selection scheme. Secondly, when replacing the glass wool in the roof structure into rock wool, the structural weighted transmission loss will increase 1.3 dB, the total value of the interior SPL will be deteriorated, while loudness and noisiness be increased 1~1.5 sone and 1~2 Noy. Thirdly, when adjusting the 5 mm sound insulation pad to one side of the train, the structural weighted transmission loss will increase 1.4 dB, the total value of the interior SPL will be unchanged, while the loudness and noisiness be increased 3~5 sone and 2~3 Noy. The research and evaluation methods in the paper are practicable and significant for the noise prediction and material selection of high-speed train definitely.

Cite this article

LI Ye , WANG Ruiqian , XU Qiuting , WANG Jiazheng , ZHANG Xuefei , CHU Yuxia . Noise Prediction and Material Selection Method of High-speed Train Based on Psychoacoustics[J]. Journal of Mechanical Engineering, 2018 , 54(12) : 78 -85 . DOI: 10.3901/JME.2018.12.078

References

[1] 毛杰,郝志勇,孙强,等. 多物理场耦合激励下的高铁车内中频噪声计算[J]. 浙江大学学报,2015,49(1):315-321. MAO Jie,Hao Zhiyong,SUN Qiang,et al. High-speed train medium-frequency interior noise calculation multi-physical-field coupling excitations[J]. Journal of Zhejiang University,2015,49(1):315-321.
[2] 邓小军. 高速列车车内噪声预测与控制技术研究[D]. 北京:北京交通大学,2017. DENG Xiaojun. Study on noise prediction and control technology in high-speed train[D]. Beijing:Beijing Jiaotong University,2015.
[3] 张春岩. 高速列车车内噪声预测及声学参数设计[D]. 成都:西南交通大学,2015. ZHANG Chunyan. Interior noise prediction and acoustic parameter design of high-speed train[D]. Chengdu:Southwest Jiaotong University,2015.
[4] 沈艳祥. 高速动车组地板结构隔声实验及仿真研究[D].北京:北京交通大学,2009. SHEN Yanxiang. A Study to the floor sound insulation experiment and simulation of the high-speed emu[D]. Beijing:Beijing Jiaotong University,2009.
[5] 王瑞乾. 高速列车地板结构隔声及隔声提高方法探究[D]. 成都:西南交通大学,2014. WANG Ruiqian. Study on the sound insulation of floor of high-speed train and ITS improvement methods[D]. Chengdu:Southwest Jiaotong University,2015.
[6] 吴飞,李光耀,成艾国,等. 基于混合ES-FE-SEA方法的中频声固耦合分析[J]. 机械工程学报,2015,51(15):67-74. WU Fei,LI Guangyao,CHENG AI Guo,et al. Analysis of intermediate frequency acoustic structure coupling based on hybrid ES-FE-SEA method[J]. Chinese Journal of mechanical engineering,2015,51(15):67-74.
[7] XIE G. THOMPSON D J,JONES C J C. A modelling approach for the vibro-acoustic behaviour of aluminium extrusions used in railway vehicles[J]. Journal of Sound and Vibration,2006,293(3-5):921-932.
[8] HARDY A E J. Measurement and assessment of noise within passenger trains[J]. Journal of Sound and Vibration,2000,231(3):819-829.
[9] LETOURNEAUX F,GUERRAND S. Assessment of the acoustical comfort in high-speed trains at the SNCF:Integration of subjective parameters[J]. Journal of Sound and Vibration,2000,231(3):839-846.
[10] 王娜,陈克安. 心理声学参数提取及其在目标识别中的应用[J]. 计算机仿真,2008,11:21-24. WANG Na,CHEN Kean. Psychoacoustic parameters extraction and it's application in target recognition[J]. Computer Simulation,2008,11:21-24.
[11] 张捷,肖新标,王谛,等. 350 km/h以上高速列车观光区噪声特性及其评价研究[J]. 铁道学报,2012,34(10):23-29. ZHANG Jie,XIAO Xinbiao,WANG Di,et al. Characteristics and evaluation of noises in the tourist cabin of a train running at more than 350 km/h[J]. Journal of the China Railway Society,2012,34(10):23-29.
[12] 范蓉平,孟光,孙旭,等. 基于心理声学响度分析的高速列车车内噪声评价[J]. 振动与冲击,2005,24(5):46-48. FAN Rongping,MENG Guang,SUN Xu,et al. The High-speed train noise evaluation based on psychoacoustics loudness analysis.[J] Vibration and Shock,2005,24(5):46-48.
[13] LI Fangyang,FAN Yumeng,Wang Tao. Sound quality evaluation analysis on the interior noise of high-speed train[J]. Advances in Applied Acoustics,2014,3(1):9-14.
[14] 全国声学标准化技术委员会,GB/T 19889-2005建筑和建筑构件隔声测量第3部分:建筑构件空气声隔声的实验室测量[S]. 北京:中国标准出版社,2007. National Acoustic Standardization Technical Committee,GB/T 19889-2005 Acoustics-Measurement of sound insulation in buildings and of building elements-Part 3:Laboratory measurements of airborne sound insulation of building elements[S]. Beijing:China Standard Press,2007.
[15] ISO 140-3. Measurement of sound insulation in buildings and of building elements-part 3:Laboratory measurements of airborne sound insulation of building elements[S]. Switzerland:International Organization for Standardization,1995.
[16] ISO3381-2005. Railway applications acoustics measurement of noise inside railbound vehicles[S].[S.l.] International Standard,2005.
[17] ZWICKER ET AL,Program for Calculating Loudness According to DIN45631(ISO532B),Journal Acoustic Society Jpn (E),Vol. 12,Nr.1,1991.
[18] ZWICKER E,FASTL H. Psychoacoustics,facts and models[M]. New York:Springer,1999.
[19] MOORE B C J. An introduction to the psychology of hearing[M]. New York:Academic Press,2003.
Outlines

/