IDEAS home Printed from https://ideas.repec.org/a/taf/tjrtxx/v9y2021i1p79-99.html
   My bibliography  Save this article

A 3D digital modelling method for railway station subgrade based on generalized hexahedron

Author

Listed:
  • Yang Xu
  • Wei Li
  • Jie Wang
  • Hao Pu
  • Zhiliang Zhang
  • Haiou Shi
  • Quan Yuan

Abstract

This study aims to propose an efficient modelling method for railway station subgrade based on cross-sectional data. A modelling principle is firstly established to determine the connection relationships between the adjacent cross sections with large differences. And the connected areas between adjacent cross sections are constructed into a solid model based on the method of ‘Generalized Hexahedron’. In addition, the dissection algorithm for the solid model with multi-level topology is studied, realizing the fast cross-section extraction at an arbitrary position. The proposed method is adopted to build a 3D digital subgrade model in a real case study of Ganquan North Station. The results show that the proposed method can realize the efficient modelling and analysis of the digital subgrade model.

Suggested Citation

  • Yang Xu & Wei Li & Jie Wang & Hao Pu & Zhiliang Zhang & Haiou Shi & Quan Yuan, 2021. "A 3D digital modelling method for railway station subgrade based on generalized hexahedron," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 9(1), pages 79-99, January.
    • Handle: RePEc:taf:tjrtxx:v:9:y:2021:i:1:p:79-99
    DOI: 10.1080/23248378.2020.1715853
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23248378.2020.1715853
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23248378.2020.1715853?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.

    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:9:y:2021:i:1:p:79-99. 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.