IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p33-d1008975.html
   My bibliography  Save this article

Long-Term Cross-Slope Variation in Highways Built on Soft Soil under Coupling Action of Traffic Load and Consolidation

Author

Listed:
  • Miao Jia

    (School of Highway, Chang ’an University, Xi’an 710064, China)

  • Jinliang Xu

    (School of Highway, Chang ’an University, Xi’an 710064, China)

  • Chao Gao

    (School of Highway, Chang ’an University, Xi’an 710064, China)

  • Minghao Mu

    (Innovation Research Institute of Shandong High-Speed Group, Jinan 250000, China)

  • Guangxun E

    (Shandong Hi-Speed Group Co., Ltd., Jinan 250000, China)

Abstract

The variation in road cross slope with service life affects the pavement drainage and has an adverse effect on vehicle operation safety. This paper describes a cross-slope variation prediction method influenced by the coupling effect of traffic load and soil consolidation, considering characteristics of embankment to cover the shortage for insufficient consideration of compacted embankment. First, the traffic load-induced settlement equation of a highway on soft soil foundation was introduced, which considers the effects of traffic load stress, confining pressure, soil structure, strength weakening and cyclic loading times on different positions along the cross-section. Then, the finite element model of a highway on soft soil foundations under soil consolidation is established, considering the influence of soil seepage. Finally, predictions of long-term settlement and cross-slope variation generated by coupling action of traffic load and soil consolidation were carried out with contrastive analysis with measured data. We find the following: (1) the long-term settlement was mostly from the consolidation of natural soft subsoil, while the cross-slope variation was mainly affected by traffic load; (2) variation in the cross slope of highway in soft soil areas mainly occurs within 1 year of operation. The effect of passenger cars and trucks on cross-slope variation shows diametrically opposite results, as the passenger car lane decreases while the truck lane increases; (3) the relative error of the cross-slope variation prediction results with the measured data are 2.86% and 2.5% for the left and right lane cross slopes, respectively.

Suggested Citation

  • Miao Jia & Jinliang Xu & Chao Gao & Minghao Mu & Guangxun E, 2022. "Long-Term Cross-Slope Variation in Highways Built on Soft Soil under Coupling Action of Traffic Load and Consolidation," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:33-:d:1008975
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/33/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/1/33/
    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:33-:d:1008975. 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.