IDEAS home Printed from https://ideas.repec.org/a/taf/tjrtxx/v5y2017i2p87-109.html
   My bibliography  Save this article

Anechoic wind tunnel tests on high-speed train bogie aerodynamic noise

Author

Listed:
  • Eduardo Latorre Iglesias
  • David J. Thompson
  • Malcolm Smith
  • Toshiki Kitagawa
  • Nobuhiro Yamazaki

Abstract

Aerodynamic noise becomes a significant noise source at speeds normally reached by high-speed trains. The train bogies are identified as important sources of aerodynamic noise. Due to the difficulty to assess this noise source carrying out field tests, wind tunnel tests offer many advantages. Tests were performed in the large-scale low-noise anechoic wind tunnel at Maibara, Japan, using a 1/7 scale train car and bogie model for a range of flow speeds between 50, 76, 89 and 100 m/s. The dependence of the aerodynamic noise from the bogie region on different factors has been studied for different bogie configurations and inflow conditions representing different positions of the bogie along the train. The speed dependence and the noise directivity have also been assessed. The results show the particular importance of the components exposed to the free flow, whereas those shielded within the bogie cavity are shown to radiate much less noise.

Suggested Citation

  • Eduardo Latorre Iglesias & David J. Thompson & Malcolm Smith & Toshiki Kitagawa & Nobuhiro Yamazaki, 2017. "Anechoic wind tunnel tests on high-speed train bogie aerodynamic noise," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 5(2), pages 87-109, April.
    • Handle: RePEc:taf:tjrtxx:v:5:y:2017:i:2:p:87-109
    DOI: 10.1080/23248378.2016.1274685
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23248378.2016.1274685
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23248378.2016.1274685?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoqi Sun & Han Xiao, 2018. "Numerical Modeling and Investigation on Aerodynamic Noise Characteristics of Pantographs in High-Speed Trains," Complexity, Hindawi, vol. 2018, pages 1-12, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjrtxx:v:5:y:2017:i:2:p:87-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjrt20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.