• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

真空管道 EMU 尾流区湍流特性的数值模拟与分析。

Numerical Simulation and Analysis of Turbulent Characteristics near Wake Area of Vacuum Tube EMU.

机构信息

School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China.

School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China.

出版信息

Sensors (Basel). 2023 Feb 23;23(5):2461. doi: 10.3390/s23052461.

DOI:10.3390/s23052461
PMID:36904664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10007246/
Abstract

Due to aerodynamic resistance, aerodynamic noise, and other problems, the further development of traditional high-speed electric multiple units (EMUs) on the open line has been seriously restricted, and the construction of a vacuum pipeline high-speed train system has become a new solution. In this paper, the Improved Detached Eddy Simulation (IDDES) is used to analyze the turbulent characteristics of the near wake region of EMU in vacuum pipes, so as to establish the important relationship between the turbulent boundary layer, wake, and aerodynamic drag energy consumption. The results show that there is a strong vortex in the wake near the tail, which is concentrated at the lower end of the nose near the ground and falls off from the tail. In the process of downstream propagation, it shows symmetrical distribution and develops laterally on both sides. The vortex structure far from the tail car is increasing gradually, but the strength of the vortex is decreasing gradually from the speed characterization. This study can provide guidance for the aerodynamic shape optimization design of the rear of the vacuum EMU train in the future and provide certain reference significance for improving the comfort of passengers and saving the energy consumption caused by the speed increase and length of the train.

摘要

由于空气动力学阻力、空气动力噪声等问题,传统高速动车组在开阔线路上的进一步发展受到严重限制,因此,建设真空管道高速列车系统成为新的解决方案。本文采用改进的分离涡模拟(IDDES)方法分析了真空管道中 EMU 近尾流区的湍流特性,从而建立了湍流边界层、尾流和空气动力阻力能量消耗之间的重要关系。结果表明,尾部附近的尾流中存在很强的涡旋,集中在靠近地面的车头下部,并从尾部脱落。在下游传播过程中,它呈现出对称分布,并在两侧横向发展。远离车尾的涡旋结构逐渐增加,但从速度特征来看,涡旋的强度逐渐减小。本研究可为未来真空动车组列车尾部的空气动力学外形优化设计提供指导,对提高旅客舒适度和节约因列车提速和长度增加而导致的能耗具有一定的参考意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/3d6326918a55/sensors-23-02461-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/29baff6d8507/sensors-23-02461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/f21102e8e864/sensors-23-02461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/d3fc58926493/sensors-23-02461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/0538566173c0/sensors-23-02461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/1659572d5040/sensors-23-02461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/ad579595b6c0/sensors-23-02461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/4a9577b8e255/sensors-23-02461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/101d226dc21a/sensors-23-02461-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/df133eda5243/sensors-23-02461-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/51891313a2bb/sensors-23-02461-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/82a753a275ff/sensors-23-02461-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/4e392d43b126/sensors-23-02461-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/74064149d21b/sensors-23-02461-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/50b0cfed2989/sensors-23-02461-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/0974da8cae5c/sensors-23-02461-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/3950e58a267e/sensors-23-02461-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/7178f9b486fb/sensors-23-02461-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/284ef4d1a664/sensors-23-02461-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/3d6326918a55/sensors-23-02461-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/29baff6d8507/sensors-23-02461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/f21102e8e864/sensors-23-02461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/d3fc58926493/sensors-23-02461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/0538566173c0/sensors-23-02461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/1659572d5040/sensors-23-02461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/ad579595b6c0/sensors-23-02461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/4a9577b8e255/sensors-23-02461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/101d226dc21a/sensors-23-02461-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/df133eda5243/sensors-23-02461-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/51891313a2bb/sensors-23-02461-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/82a753a275ff/sensors-23-02461-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/4e392d43b126/sensors-23-02461-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/74064149d21b/sensors-23-02461-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/50b0cfed2989/sensors-23-02461-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/0974da8cae5c/sensors-23-02461-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/3950e58a267e/sensors-23-02461-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/7178f9b486fb/sensors-23-02461-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/284ef4d1a664/sensors-23-02461-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/308a/10007246/3d6326918a55/sensors-23-02461-g019.jpg

相似文献

1
Numerical Simulation and Analysis of Turbulent Characteristics near Wake Area of Vacuum Tube EMU.真空管道 EMU 尾流区湍流特性的数值模拟与分析。
Sensors (Basel). 2023 Feb 23;23(5):2461. doi: 10.3390/s23052461.
2
Numerical calculation of boundary layers and wake characteristics of high-speed trains with different lengths.不同长度高速列车边界层与尾流特性的数值计算
PLoS One. 2017 Dec 19;12(12):e0189798. doi: 10.1371/journal.pone.0189798. eCollection 2017.
3
Study on prediction in far-field aerodynamic noise of long-marshalling high-speed train.长编组高速列车远场气动噪声预测研究
Environ Sci Pollut Res Int. 2022 Dec;29(57):86580-86594. doi: 10.1007/s11356-022-21215-9. Epub 2022 Jun 9.
4
Characteristics analysis of near-field and far-field aerodynamic noise around high-speed railway bridge.高速铁路桥梁近场和远场空气动力噪声特性分析。
Environ Sci Pollut Res Int. 2021 Jun;28(23):29467-29483. doi: 10.1007/s11356-021-12417-8. Epub 2021 Feb 9.
5
Turbulent Wake-Flow Characteristics in the Near Wake of Freely Flying Raptors: A Comparative Analysis Between an Owl and a Hawk.自由飞行猛禽尾流中的紊流流动特征:猫头鹰和鹰的比较分析。
Integr Comp Biol. 2020 Nov 1;60(5):1109-1122. doi: 10.1093/icb/icaa106.
6
Effect of non-fully enclosed windshield on aerodynamic and acoustic behaviors of high-speed train.非全封闭挡风玻璃对高速列车空气动力和声学行为的影响。
Environ Sci Pollut Res Int. 2023 May;30(25):67804-67819. doi: 10.1007/s11356-023-27296-4. Epub 2023 Apr 28.
7
Predictions of Conjugate Heat Transfer in Turbulent Channel Flow Using Advanced Wall-Modeled Large Eddy Simulation Techniques.使用先进的壁面模型大涡模拟技术预测湍流通道流中的共轭传热
Entropy (Basel). 2021 Jun 7;23(6):725. doi: 10.3390/e23060725.
8
Numerical Investigation of Aerodynamic Noise Reduction of Nonpneumatic Tire Using Nonsmooth Riblet Surface.基于非光滑小肋条表面的非充气轮胎气动降噪数值研究。
Appl Bionics Biomech. 2020 Mar 14;2020:4345723. doi: 10.1155/2020/4345723. eCollection 2020.
9
An in-depth quantitative analysis of wind turbine blade tip wake flow based on the lattice Boltzmann method.基于格子玻尔兹曼方法的风力涡轮机叶片尾迹流的深入定量分析。
Environ Sci Pollut Res Int. 2021 Aug;28(30):40103-40115. doi: 10.1007/s11356-020-09511-8. Epub 2020 Jun 6.
10
Aerodynamic investigation of the thermo-dependent flow structure in the wake of a cyclist.自行车骑行者尾流中热依赖流动结构的空气动力学研究。
J Biomech. 2019 Jan 3;82:387-391. doi: 10.1016/j.jbiomech.2018.11.006. Epub 2018 Nov 20.

引用本文的文献

1
Optimization Analysis of Thermodynamic Characteristics of Serrated Plate-Fin Heat Exchanger.锯齿形板翅式换热器热力学特性的优化分析。
Sensors (Basel). 2023 Apr 21;23(8):4158. doi: 10.3390/s23084158.

本文引用的文献

1
Optimal search mapping among sensors in heterogeneous smart homes.异构智能家居中传感器之间的最优搜索映射。
Math Biosci Eng. 2023 Jan;20(2):1960-1980. doi: 10.3934/mbe.2023090. Epub 2022 Nov 9.
2
The impact of hyperglycaemic crisis episodes on long-term outcomes for inpatients presenting with acute organ injury: A prospective, multicentre follow-up study.高血糖危象对伴有急性器官损伤的住院患者长期结局的影响:一项前瞻性、多中心随访研究。
Front Endocrinol (Lausanne). 2022 Dec 5;13:1057089. doi: 10.3389/fendo.2022.1057089. eCollection 2022.
3
Custom-Molded Offloading Footwear Effectively Prevents Recurrence and Amputation, and Lowers Mortality Rates in High-Risk Diabetic Foot Patients: A Multicenter, Prospective Observational Study.
定制模压减压鞋有效预防高危糖尿病足患者复发和截肢,并降低死亡率:一项多中心前瞻性观察研究
Diabetes Metab Syndr Obes. 2022 Jan 10;15:103-109. doi: 10.2147/DMSO.S341364. eCollection 2022.
4
Reliability analysis for the fractional-order circuit system subject to the uncertain random fractional-order model with Caputo type.具有Caputo型不确定随机分数阶模型的分数阶电路系统的可靠性分析。
J Adv Res. 2021 Apr 27;32:15-26. doi: 10.1016/j.jare.2021.04.008. eCollection 2021 Sep.
5
A novel mathematical morphology spectrum entropy based on scale-adaptive techniques.一种基于尺度自适应技术的新型数学形态学谱熵。
ISA Trans. 2022 Jul;126:691-702. doi: 10.1016/j.isatra.2021.07.017. Epub 2021 Jul 19.
6
Numerical calculation of boundary layers and wake characteristics of high-speed trains with different lengths.不同长度高速列车边界层与尾流特性的数值计算
PLoS One. 2017 Dec 19;12(12):e0189798. doi: 10.1371/journal.pone.0189798. eCollection 2017.