|Table of Contents|

Characteristics of external noise of urban rail transit train(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2021年03期
Page:
238-247
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Characteristics of external noise of urban rail transit train
Author(s):
ZHANG Ling;  ZHOU Hao;  FENG Qing-song;  CHEN Yan-ming;  LEI Xiao-yan
(Engineering Research Center of Railway Environmental Vibration and Noise of Ministry of Education, East China Jiaotong University, Nanchang 330013, Jiangxi, China)
Keywords:
urban rail transit;  external noise;  statistical energy analysis;  semi-infinite fluid method;  noise characteristic;  contribution rate
PACS:
U270.16
DOI:
10.19818/j.cnki.1671-1637.2021.03.016
Abstract:
Based on the statistical energy analysis(SEA)theory and semi-infinite fluid method, a 6-group B-type train external noise simulation model was established. The vibration and wheel-rail noise excitations of the SEA model of the vehicle were determined via testing. An excitation was applied to the vehicle, and the external noise characteristics were calculated and analyzed. The model was verified through a passing-noise experiment on a rail transit train in a city in China. The contributions of each plate and the wheel-rail noise to the sound pressure level at the external point were discussed as well. Analysis results indicate that the SEA theory and semi-infinite fluid method can accurately predict the external noise of a train, with a computational efficiency 14.1 times that of the conventional approach. When the speed is 60 km·h-1, the significant frequency band at 7.5 and 30.0 m outside the vehicle is 400-1 600 Hz. The sound pressure level increases first and then decreases slowly with the increasing frequency. The variation trend is the same as that of the wheel-rail noise. The maximum amplitude frequency is 800 Hz, with the maximum values being 64.88 and 61.75 dB(A). The contributions to the external noise in decreasing order are those from the wheel-rail noise, window, side wall, door, floor, roof, and end wall. The noise radiated due to vehicle vibration contributes significantly to the low-frequency band. At the center frequencies of 20-100 Hz, the main sources of external noise are windows and side walls, the contribution rates are 21.2% and 19.2%, respectively. At the center frequencies of 100-500 Hz, the difference in the noise contribution rates of each plate and the wheel-rail system is insignificant. At the center frequencies of 500-5 000 Hz, the contribution rates of each plate of the train decrease gradually, and the contribution rate of the wheel-rail noise increases gradually with the increasing frequency, reaching more than 60% in the 1/3 octave band of 2 000-5 000 Hz. 3 tabs, 15 figs, 30 refs.

References:

[1] KING III W F, BECHERT D. On the sources of wayside noise generated by high-speed trains[J]. Journal of Sound and Vibration, 1979, 66(3): 311-332.
[2] 张曙光.350 km·h-1高速列车噪声机理、声源识别及控制[J].中国铁道科学,2009,30(1):86-90.
ZHANG Shu-guang. Noise mechanism, sound source localization and noise control of 350 km·h-1 high-speed train[J]. China Railway Science, 2009, 30(1): 86-90.(in Chinese)
[3] LUI W K, LI K M, NG P L, et al. A comparative study of different numerical models for predicting train noise in high-rise cities[J]. Applied Acoustics, 2006, 67(5): 432-449.
[4] NASSIRI P, ABBASPOURM, MAHMOODI M, et al. A rail noise prediction model for the Tehran-Karaj commuter train[J]. Applied Acoustics, 2007, 68(3): 326-333.
[5] 蒋忠城,刘晓波,王先锋,等.轻轨车辆整车噪声预测及验证[J].机械设计,2019,36(增2):160-164.
JIANG Zhong-cheng, LIU Xiao-bo, WANG Xian-feng, et al. Vehicle noise prediction and verification for LRV[J]. Journal of Machine Design, 2019, 36(S2): 160-164.(in Chinese)
[6] 谭晓明,杨志刚,吴晓龙,等.CIT500车外噪声源频谱分解模型的试验研究[J].铁道学报,2017,39(7):32-37.
TAN Xiao-ming, YANG Zhi-gang, WU Xiao-long, et al. Experimental study on frequency spectrum component model of noise source outside CIT500 train[J]. Journal of the China Railway Society, 2017, 39(7): 32-37.(in Chinese)
[7] 王德威,李 帅,张 捷,等.高速列车车外噪声预测建模与声源贡献量分析[J].中南大学学报(自然科学版),2018,49(12): 3113-3120.
WANG De-wei, LI Shuai, ZHANG Jie, et al. Prediction of external noise of high-speed train and analysis of noise source contribution[J]. Journal of Central South University(Science and Technology), 2018, 49(12): 3113-3120.(in Chinese)
[8] LETH S. Train noise reduction scenarios for compliance with future noise legislation[J]. Journal of Sound and Vibration, 2003, 267(3): 675-687.
[9] 郑建华.高速列车车内低频噪声分析与预测研究[D].济南:山东大学,2015.
ZHENG Jian-hua. Research on the analysis and prediction of the interior noise of high-speed train in low frequency domain[D]. Jinan: Shandong University, 2015.(in Chinese)
[10] LIU Han-ru, WEI Jin-jia, QU Zhi-guo. Prediction of
aerodynamic noise reduction by using open-cell metal foam[J]. Journal of Sound and Vibration, 2012, 331(7): 1483-1497.
[11] GOLEBIEWSKI R. Influence of turbulence on train noise[J]. Applied Acoustics, 2016, 113(1): 39-44.
[12] 李 辉,肖新标,金学松.基于神经网络方法的高速列车车外气动噪声预测[J].噪声与振动控制,2015,35(3):56-59.
LI Hui, XIAO Xin-biao, JIN Xue-song. Research on exterior aerodynamic noise prediction of high-speed trains based on neural network[J]. Noise and Vibration Control, 2015, 35(3): 56-59.(in Chinese)
[13] DITTRICH M G, ZHANG X. The harmonoise/IMAGINE model for traction noise of powered railway vehicles[J].Journal of Sound and Vibration, 2006, 293(3-5): 986-994.
[14] LGLESIAS E L, THOMPSON D J, SMITHM G. Component-based model to predict aerodynamic noise from high-speed train pantographs[J]. Journal of Sound and Vibration, 2017, 394(28): 280-305.
[15] KIM H, HU Zhi-wei, THOMPSON D. Numerical investigation of the effect of cavity flow on high speed train pantograph aerodynamic noise[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 201: 104159.
[16] 易 强,王 平,赵才友,等.高架铁路环境噪声空间分布特性及控制措施效果研究[J].铁道学报,2017,39(3):120-127.
YI Qiang, WANG Ping, ZHAO Cai-you, et al. Spatial distribution characteristics and reduction measures of environmental noise in elevated railway region[J]. Journal of the China RailwaySociety, 2017, 39(3): 120-127.(in Chinese)
[17] BUNN F, ZANNIN P H T. Assessment of railway noise in an urban setting[J]. Applied Acoustics, 2016, 104: 16-23.
[18] 刘鹏飞.地铁直立反射型声屏障声场及降噪效果研究[D].北京:北京交通大学,2018.
LIU Peng-fei. Research on subway sound field and noise reduction effect of erect and reflective noise barrier[D].Beijing: Beijing Jiaotong University, 2018.(in Chinese)
[19] 范 静,张 捷,杨 妍,等.城际列车C型近轨声屏障降噪效果预测分析[J].噪声与振动控制,2020,40(2):188-193,206.
FAN Jing, ZHANG Jie, YANG Yan, et al. Prediction of noise reduction effect of C-type near-rail barriers for intercity trains[J]. Noise and Vibration Control, 2020, 40(2): 188-193, 206.(in Chinese)
[20] 周 信,肖新标,何 宾,等.高速铁路声屏障降噪效果预测及其验证[J].机械工程学报,2013,49(10):14-19.
ZHOU Xin, XIAO Xin-biao, HE Bin, et al. Numerical model for predicting the noise reduction of noise barrier of high speed railway and its test validation[J]. Journal of Mechanical Engineering, 2013, 49(10): 14-19.(in Chinese)
[21] IVANOV N I, BOIKO I S, SHASHURIN A E. The problem of high-speed railway noise prediction and reduction[J]. Procedia Engineering, 2017, 189: 539-546.
[22] 徐圣辉,周 信,陈 辉,等.近轨低矮声屏障降噪效果影响因素分析[J].噪声与振动控制,2018,38(5):139-145.
XU Sheng-hui, ZHOU Xin, CHEN Hui, et al. Analysis of the factors affecting noise reduction of near-rail low-height noise barriers[J].Noise and Vibration Control, 2018, 38(5): 139-145.(in Chinese)
[23] 周 强,肖新标,何 宾,等.V型声屏障隔声性能测试及降噪效果预测[J].噪声与振动控制,2014,34(4):44-47,61.
ZHOU Qiang, XIAO Xin-biao, HE Bin, et al. Experimental study on the sound insulation performance and noise reduction effect prediction of V-type noise barriers[J]. Noise and Vibration Control, 2014, 34(4): 44-47, 61.(in Chinese)
[24] 杨 妍,张 捷,何 宾,等.基于试验测试的桥梁与路堤区段高速列车车外噪声特性分析[J].机械工程学报,2019,55(20):188-197.
YANG Yan, ZHANG Jie, HE Bin, et al. Analysis on exterior noise characteristics of high-speed trains in bridges and embankments section based on experiment[J]. Journal of Mechanical Engineering, 2019, 55(20): 188-197.(in Chinese)
[25] 李晏良,李志强,何财松,等.基于算法优化的中国高速动车组车外噪声源识别研究[J].中国铁道科学,2019,40(1):94-101.
LI Yan-liang, LI Zhi-qiang, HE Cai-song, et al. External noise source identification of Chinese high-speed EMU based on algorithm optimization[J]. China Railway Science, 2019, 40(1): 94-101.(in Chinese)
[26] 赵 悦,何远鹏,韩 健,等.有轨电车曲线啸叫噪声试验分析[J].机械工程学报,2019,55(10):133-141.
ZHAO Yue, HE Yuan-peng, HAN Jian, et al. Measurements and analyses of curve squeal caused by tram[J]. Journal of Mechanical Engineering, 2019, 55(10): 133-141.(in Chinese)
[27] BLANCHET D, MATLA A S. Building SEA predictive models to support vibro-acoustic ship design[R]. Munich: ESI Global Forum, 2010.
[28] 毛 杰.多物理场耦合激励下的高速列车车内全频噪声预测与声品质优化[D].杭州:浙江大学,2015.
MAO Jie. High-speed train interior full-spectrum noise prediction and sound quality optimization under multi-physical-field coupling excitations[D]. Hangzhou: Zhejiang University, 2015.(in Chinese)
[29] 吴 健.地铁列车车内噪声预测与车体铝型材减振降噪优化[D].成都:西南交通大学,2016.
WU Jian. Prediction of interior noise of subway train and optimization of extruded aluminum profile for vibration and noise reduction[D]. Chengdu: Southwest Jiaotong University, 2016.(in Chinese)
[30] 韩 健.地铁列车-嵌入式轨道系统动力学性能及振动噪声特性研究[D].成都:西南交通大学,2018.
HAN Jian. Study on dynamic behaviour and vib-acoustic characteristic of metro trian and embedded track system[D]. Chengdu: Southwest Jiaotong University, 2018.(in Chinese)

Memo

Memo:
-
Last Update: 2021-07-20