IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p353-d1015100.html
   My bibliography  Save this article

Numerical Investigation and Prediction of Side-By-Side Tunneling Effects on Buried Pipelines

Author

Listed:
  • Jinquan Wang

    (School of Transportation, Southeast University, Nanjing 211189, China
    Ningbo Hangzhou Bay Bridge Development Co., Ltd., Ningbo 315033, China)

  • Juntong An

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Shenyi Zhang

    (School of Rail Transportation, Soochow University, Suzhou 215131, China)

  • Ruoyu Ge

    (CCDI (Suzhou) Exploration & Design Consulting Co., Ltd., Suzhou 215123, China)

  • Qiwu Xie

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Qingshu Chen

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Sizhuo Zheng

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Mingge Ye

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

Abstract

With the fast development of underground space engineering, it is inevitable for buried pipelines to be crossed by twin tunnels. Previous studies mainly focused on the single-tunneling effects on pipelines. To emphasize the twin-tunneling effects on buried pipelines, we first examined the effectiveness of the ground settlement prediction method under twin-tunneling conditions. Then, the estimated ground settlement boundary condition was applied to the beam-on-spring finite element model. The numerical results show that with the decrease in tunnel depth and twin tunnel space, the values and positions of the maximum ground settlement and longitudinal pipe bending behavior both changed significantly. The biased distance of the maximum settlement position and the distance to the inflection point of the final ground settlement curve can be obtained by curve fitting. Based on that, a semi-empirical prediction method for the longitudinal pipe bending strain was proposed. The predicted values matched quite well with the numerical results, which can thus provide a quick and effective structural safety and integrity assessment approach for buried pipelines subjected to twin-tunneling conditions.

Suggested Citation

  • Jinquan Wang & Juntong An & Shenyi Zhang & Ruoyu Ge & Qiwu Xie & Qingshu Chen & Sizhuo Zheng & Mingge Ye, 2022. "Numerical Investigation and Prediction of Side-By-Side Tunneling Effects on Buried Pipelines," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:353-:d:1015100
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/353/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/1/353/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:15:y:2022:i:1:p:353-:d:1015100. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.