|Table of Contents|

Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains(PDF)

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

Issue:
2021年03期
Page:
248-257
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains
Author(s):
ZHANG Jie12 YAO Dan2 WANG Rui-qian3 XIAO Xin-biao2
(1. State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, Sichuan, China; 2. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 3. School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, Jiangsu, China)
Keywords:
vehicle engineering high-speed train low-noise design acoustic index statistical energy analysis ray acoustics
PACS:
U270.1
DOI:
10.19818/j.cnki.1671-1637.2021.03.017
Abstract:
A method for determining the acoustic indexes of the components based on vehicle noise simulation analysis was proposed. The acoustic indexes of the high-speed train components were divided into noise source and sound transfer path indexes according to the types. The prediction models of high-speed train exterior and interior noise were established respectively by using ray acoustics and statistical energy analysis methods. A set of initial parameters were selected as the model inputs to predict the exterior and interior noise, and the predicted results were compared with the top-level design targets of the vehicle. Based on the noise source, sound transfer path contribution, parameter sensitivity, and multi-objective optimization, the acoustic indexes of the noise source components and sound transfer path components were determined. Analysis results show that according to the exterior noise simulation analysis, the inputs of the noise source parameters can be regarded as a set of determination results of noise source indexes when the predicted exterior noise meets the top-level acoustic design targets and the design margin is within the acceptable range. In determining the sound transfer path indexes based on the interior noise simulation analysis, the inputs of the sound transfer path parameters can be regarded as a set of determination results of sound transfer path indexes when the predicted interior noise meets the top-level acoustic design targets and the design margin is within the acceptable range. However, when the noise source indexes or sound transfer path indexes do not satisfy the vehicle noise requirements, it is necessary to analyze the noise source or sound transfer path contribution, calculate the parameter sensitivity of the main contributing noise source or sound transfer path, and make the main contributing noise source or sound transfer path achieve the top-level acoustic design targets through correction iteration. Low-noise design procedure needs to integrate the feedback of multiple indicators continuously. The acoustic indexes of the components should be adjusted reasonably to ensure that the acoustic indexes of the components not only satisfy the top-level acoustic design targets but also show feasibility. 10 figs, 31 refs.

References:

[1] 沈志云.高速列车的动态环境及其技术的根本特点[J].铁道学报,2006,28(4):1-5.
SHEN Zhi-yun. Dynamic environment of high-speed train and its distinguished technology[J]. Journal of the China Railway Society, 2006, 28(4): 1-5.(in Chinese)
[2] 翟婉明,赵春发.现代轨道交通工程科技前沿与挑战[J].西南交通大学学报,2016,51(2):209-226.
ZHAI Wan-ming, ZHAO Chun-fa. Frontiers and challenges of science and technologies in modern railway engineering[J]. Journal of Southwest Jiaotong University, 2016, 51(2): 209-226.(in Chinese)
[3] 杨国伟,魏宇杰,赵桂林,等.高速列车的关键力学问题[J].力学进展,2015,45:201507.
YANG Guo-wei, WEI Yu-jie, ZHAO Gui-lin, et al. Research progress on the mechanics of high speed rails[J]. Advances in Mechanics, 2015, 45: 201507.(in Chinese)
[4] JIN Xue-song. Key problems faced in high-speed train
operation[J]. Journal of Zhejiang University—Science A, 2014, 15(12): 936-945.
[5] HARDY A E J. Railway passengers and noise[J]. Journal of Rail and Rapid Transit, 1999, 213(3): 173-180.
[6] 葛剑敏,郭 磊,高 阳,等.温度梯度下高速列车噪声控制研究综述[J].中国基础科学,2018,20(6):15-18,46.
GE Jian-min, GUO Lei, GAO Yang, et al. An overview of study on noise control ofhigh speed trains based on temperature gradient[J]. China Basic Science, 2018, 20(6): 15-18, 46.(in Chinese)
[7] 沈火明,张玉梅,肖新标,等.高速列车波纹外地板低噪声优化设计[J].交通运输工程学报,2011,11(2):65-71.
SHEN Huo-ming, ZHANG Yu-mei, XIAO Xin-biao, et al. Low-noise optimization design of external corrugated floor for high-speed train[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 65-71.(in Chinese)
[8] YAO Dan, ZHANG Jie, WANG Rui-qian, et al. Lightweight design and sound insulation characteristic optimisation of railway floating floor structures[J]. Applied Acoustics, 2019, 156: 66-77.
[9] YAO Dan, ZHANG Jie, WANG Rui-qian, et al. Vibroacoustic damping optimisation of high-speed train floor panels in low- and mid-frequency range[J]. Applied Acoustics, 2021, 174: 107788.
[10] 汪 泉,陈 进,程江涛,等.低噪声风力机翼型设计方法及实验分析[J].北京航空航天大学学报,2015,41(1):23-28.
WANG Quan, CHEN Jin, CHENG Jiang-tao, et al. Wind turbine airfoil design method with low noise and experimental analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(1): 23-28.(in Chinese)
[11] 马 骋,钱正芳,陈 科,等.新型低噪声多叶耦合螺旋桨性能研究[J].船舶力学,2014,18(8):889-897.
MA Pin, QIAN Zheng-fang, CHEN Ke, et al. Research on performance of a new-type low-noise multi-blade coupling propeller[J]. Journal of Ship Mechanics, 2014, 18(8): 889-897.(in Chinese)
[12] 张明宇,王永生,林瑞霖,等.泵喷推进器低噪声优化设计[J].华中科技大学学报(自然科学版),2019,47(3):7-12.
ZHANG Ming-yu, WANG Yong-sheng, LIN Rui-lin, et al. Low-noise optimization design of pumpjet[J]. Journal of Huazhong University of Science and Technology(Natural Science Edition), 2019, 47(3): 7-12.(in Chinese)
[13] 何 涛,郝夏影,王锁泉,等.低噪声控制阀优化设计及试验验证[J].船舶力学,2017,21(5):642-650.
HE Tao, HAO Xia-ying, WANG Suo-quan, et al. Optimization design and experimental verification on low noise control valve[J]. Journal of Ship Mechanics, 2017, 21(5): 642-650.(in Chinese)
[14] 王连生,郝志勇,景囯玺.基于多目标形貌优化的缸盖罩低噪声设计[J].西南交通大学学报,2012,47(6):1064-1068.
WANG Lian-sheng, HAO Zhi-yong, JING Guo-xi, et al. Low noise design of cylinder head cover based on multi-objective topography optimization[J]. Journal of Southwest Jiaotong University, 2012, 47(6): 1064-1068.(in Chinese)
[15] 张 捷.高速列车车内低噪声设计方法及试验研究[D].成都:西南交通大学,2018.
ZHANG Jie. An approach of low noise design and experimental investigations into interior noise of high speed trains[D]. Chengdu: Southwest Jiaotong University, 2018.(in Chinese)
[16] ZHANG Jie, XIAO Xin-biao, SHENG Xiao-zhen, et al.An acoustic design procedure for controlling interior noise of high-speed trains[J]. Applied Acoustics, 2020, 168: 107419.
[17] ZHANG Jie, XIAO Xin-biao, SHENG Xiao-zhen, et al.
Characteristics of interior noise of a Chinese high-speed train under a variety of conditions[J]. Journal of Zhejiang University—Science A, 2017, 18(8): 617-630.
[18] ZHANG Jie, XIAO Xin-biao, SHENG Xiao-zhen, et al. A systematic approach to identify sources of abnormal interior noise for a high-speed train[J]. Shock and Vibration, 2018, 2018: 5085847
[19] ZHANG Jie, XIAO Xin-biao, SHENG Xiao-zhen, et al.
Sound source localisation for a high-speed train and its transfer path to interior noise[J]. Chinese Journal of Mechanical Engineering, 2019, 32: 1-16.
[20] EADE P W, HARDY A E J. Railway vehicle internal noise[J]. Journal of Sound and Vibration, 1977, 51(3): 403-415.
[21] 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)
[22] 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)
[23] 陈书明, 王登峰,刘 波,等.基于统计能量分析和半无限流体方法的轿车车外噪声预测[J].中国公路学报,2010,23(2):111-115.
CHEN Shu-ming, WANG Deng-feng, LIU Bo, et al. Car exterior noise prediction based on statistical energy analysis and semi-infinite fluid method[J]. China Journal of Highway and Transport, 2010, 23(2): 111-115.(in Chinese)
[24] ZHANG Jie, XIAO Xin-biao, WANG De-wei, et al.Source contribution analysis for exterior noise of a high-speed train: experiments and simulations[J]. Shock and Vibration, 2018, 2018: 5319460.
[25] ZHENG Xu, HAO Zhi-yong, WANG Xu, et al. A full-spectrum analysis of high-speed train interior noise under multi-physical-field coupling excitations[J]. Mechanical Systems and Signal Processing, 2016, 75: 525-543.
[26] THOMPSON D J, JONES C J C. Sound radiation from a
vibrating railway wheel[J]. Journal of Sound and Vibration, 2002, 253(2): 401-419.
[27] 田红旗.中国高速轨道交通空气动力学研究进展及发展思考[J].中国工程科学,2015,17(4):30-41.
TIAN Hong-qi. Development of research on aerodynamics of high-speed rails in China[J]. Strategic study of CAE, 2015, 17(4): 30-41.(in Chinese)
[28] 张 捷,姚 丹,王瑞乾,等.基于试验统计能量分析的高速列车车内噪声预测方法[J].铁道学报,2020,42(11):45-52.
ZHANG Jie, YAO Dan, WANG Rui-qian, et al. An approach for interior noise prediction of high-speed trains based on experimental statistical energy analysis[J]. Journal of the China Railway Society, 2020, 42(11): 45-52.(in Chinese)
[29] ZHAO Y J, DENG X, LIU S Q, et al. Interior noise
prediction of high-speed train based on hybrid FE-SEA method[C]∥Springer. Noise and Vibration Mitigation for Rail Transportation System. Berlin: Springer, 2015: 699-705.
[30] 代文强,郑 旭,郝志勇,等.采用能量有限元分析的高速列车车内噪声预测[J].浙江大学学报(工学版),2019,53(12):2396-2403.
DAI Wen-qiang, ZHENG Xu, HAO Zhi-yong, et al. Prediction of high-speed train interior noise using energy finite element analysis[J]. Journal of Zhejiang University(Engineering Science), 2019, 53(12): 2396-2403.(in Chinese)
[31] ZHANG Jie, YAO Dan, WANG Rui-qian, et al. Vibro-acoustic modelling of high-speed train composite floor and contribution analysis of its constituent materials[J]. Composite Structures, 2021, 256: 113049.

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Last Update: 2021-07-20