IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13614-d1238065.html
   My bibliography  Save this article

Response Prediction of Asphalt Pavement in Cold Region with Thermo-Hydro-Mechanical Coupling Simulation

Author

Listed:
  • Junling Si

    (Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo 060-8628, Japan)

  • Tatsuya Ishikawa

    (Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo 060-8628, Japan)

  • Daoju Ren

    (Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo 060-8628, Japan)

  • Kimio Maruyama

    (Civil Engineering Research Institute for Cold Region, Sapporo 062-8602, Japan)

  • Chigusa Ueno

    (Civil Engineering Research Institute for Cold Region, Sapporo 062-8602, Japan)

Abstract

Although the theoretical pavement structure design method (TPSDM) is widely used for designing asphalt pavements in Japan, it still exhibits certain limitations, such as not considering the variation in moduli of the base and subgrade layers due to water contents, freeze–thaw action, and stress states. This study aims to enhance Japanese TPSDM’s accuracy by considering variations in the resilient modulus of environmental impacts, pavement materials, pavement structure, and traffic load actions to accurately calculate the mechanical responses and predict pavement fatigue life. Firstly, the study develops a 3D Thermo-Hydro-Mechanical (THM) model using the finite element method (FEM) to investigate temperature and moisture distributions of the pavement with time. Then, based on the numerical results of the moisture, temperature, and stress state obtained from the THM analysis, the constant resilient modulus of the base and subgrade layers in the Japanese TPSDM is replaced with a resilient modulus that considers the stress state and the combined effects of water content fluctuations and freeze–thaw action. Finally, the fatigue life of the pavement is calculated based on the obtained mechanical response in THM analysis. The reliability and validity of the proposed fatigue life prediction method are well verified by comparing the calculated with the actual pavement fatigue life. Results indicate that the modifications improve the Japanese TPSDM by considering the environmental impacts, traffic load actions, pavement materials, and pavement structure, thereby improving the accuracy of predicting the fatigue life of asphalt pavements, particularly in cold regions.

Suggested Citation

  • Junling Si & Tatsuya Ishikawa & Daoju Ren & Kimio Maruyama & Chigusa Ueno, 2023. "Response Prediction of Asphalt Pavement in Cold Region with Thermo-Hydro-Mechanical Coupling Simulation," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13614-:d:1238065
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13614/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13614/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tamanna Kabir & Susan Tighe, 2023. "Construction and Performance Evaluation of Polyurethane-Bound Porous Rubber Pavement (PRP) Trial Section in the Cold Climate," Sustainability, MDPI, vol. 15(3), pages 1-31, January.
    2. Audrius Vaitkus & Judita Gražulytė & Egidijus Skrodenis & Igoris Kravcovas, 2016. "Design of Frost Resistant Pavement Structure Based on Road Weather Stations (RWSs) Data," Sustainability, MDPI, vol. 8(12), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyun-Jun Choi & Sewon Kim & YoungSeok Kim & Jongmuk Won, 2022. "Predicting Frost Depth of Soils in South Korea Using Machine Learning Techniques," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    2. Qinglin Li & Haibin Wei & Peilei Zhou & Yangpeng Zhang & Leilei Han & Shuanye Han, 2019. "Experimental and Numerical Research on Utilizing Modified Silty Clay and Extruded Polystyrene (XPS) Board as the Subgrade Thermal Insulation Layer in a Seasonally Frozen Region, Northeast China," Sustainability, MDPI, vol. 11(13), pages 1-15, June.
    3. Martin Decky & Katarina Hodasova & Zuzana Papanova & Eva Remisova, 2022. "Sustainable Adaptive Cycle Pavements Using Composite Foam Concrete at High Altitudes in Central Europe," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    4. José Ángel Aranda & María Moncho Santonja & MÁ Gil Saurí & Guillermo Peris-Fajarnés, 2021. "Minimizing Shadow Area in Mountain Roads for Improving the Sustainability of Infrastructures," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    5. Qinglin Li & Haibin Wei & Leilei Han & Fuyu Wang & Yangpeng Zhang & Shuanye Han, 2019. "Feasibility of Using Modified Silty Clay and Extruded Polystyrene (XPS) Board as the Subgrade Thermal Insulation Layer in a Seasonally Frozen Region, Northeast China," Sustainability, MDPI, vol. 11(3), pages 1-15, February.

    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:2023:i:18:p:13614-:d:1238065. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.