Comparative numerical investigation of flow-induced noise characteristics of high-speed trains using high-resolution compressible Large Eddy Simulation

火车 大涡模拟 噪音(视频) 声学 高分辨率 高速列车 压缩性 流量(数学) 可压缩流 航空航天工程 计算机科学 机械 物理 地质学 工程类 湍流 遥感 人工智能 地理 图像(数学) 地图学 运输工程
作者
Kwongi Lee,C.C. Cheong,Jaehwan Kim
出处
期刊:Journal of the Acoustical Society of America [Acoustical Society of America]
卷期号:155 (3_Supplement): A293-A293
标识
DOI:10.1121/10.0027552
摘要

The South Korean Ministry of Land, Infrastructure and Transport has developed a “Comprehensive Plan for 400km/h High-Speed Rail” aimed at enhancing the operational speed of the high-speed railways, currently running up to 300km/h. A short-term goal is to elevate the operating speed of high-speed trains to 370 km/h, up from 320 km/h. Because aerodynamic noise proportionally escalates with the 6th powers of the speed, aerodynamic noise becomes more significant at higher speeds. Consequently, there's a pressing need for design solutions that reduce aerodynamic noise in high-speed trains. This study involves an aeroacoustic analysis using real-scale models of the current model and the preliminary design targeting 370 kph operation. Each model's 8-car formation has been simplified to a 5- car setup. A challenge in predicting aerodynamic noise is the generation of detailed sound sources in the near field and precise noise propagation in the acoustic field. For that, a three-dimensional compressible Large Eddy Simulation technique is employed, utilizing high-resolution grids. This allows for concurrent computation of the external flow and acoustic fields for a real-scale, high-speed train in an open environment. The analysis comprehensively examines the aerodynamic and aeroacoustic properties of each train car, including the major contributors to aerodynamic noise in high-speed trains. The radiated noise is predicted using the Ffowcs Williams and Hawkings equation and is further examined in relation to vortex sound sources.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
momo完成签到,获得积分10
2秒前
你喜欢什么样子的我演给你看完成签到 ,获得积分10
2秒前
学海星辰应助1101592875采纳,获得30
4秒前
5秒前
KYRIE完成签到,获得积分20
7秒前
10秒前
小马甲应助ranrai采纳,获得10
10秒前
林奇完成签到,获得积分10
10秒前
12秒前
12秒前
稚生w完成签到,获得积分10
12秒前
14秒前
16秒前
qianqina发布了新的文献求助30
17秒前
18秒前
美好乐松发布了新的文献求助10
18秒前
hhp完成签到,获得积分10
19秒前
吴金玲完成签到 ,获得积分10
19秒前
19秒前
落忆完成签到 ,获得积分0
19秒前
走走发布了新的文献求助10
19秒前
海人完成签到 ,获得积分10
20秒前
22秒前
24秒前
26秒前
tebf发布了新的文献求助10
26秒前
谦让语兰发布了新的文献求助10
28秒前
脑洞疼应助corian采纳,获得10
28秒前
Eylon完成签到,获得积分10
29秒前
不不不想搞科研的小林关注了科研通微信公众号
29秒前
这话我没说过完成签到,获得积分10
29秒前
友好盼易完成签到 ,获得积分10
31秒前
32秒前
35秒前
ding应助Eylon采纳,获得10
35秒前
郁郁葱葱完成签到,获得积分10
36秒前
李健的粉丝团团长应助zzzz采纳,获得10
38秒前
拉长的砖家完成签到,获得积分20
39秒前
镜花水月完成签到,获得积分10
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349916
求助须知:如何正确求助?哪些是违规求助? 8164753
关于积分的说明 17180024
捐赠科研通 5406247
什么是DOI,文献DOI怎么找? 2862418
邀请新用户注册赠送积分活动 1840069
关于科研通互助平台的介绍 1689294