IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v115y2023i1d10.1007_s11069-022-05555-w.html
   My bibliography  Save this article

Study on shear test and shear displacement of frozen joints with different opening degrees

Author

Listed:
  • Yalu Han

    (Jilin University)

  • Lizhi Du

    (Jilin University)

  • Shiwei Shen

    (Jilin University)

Abstract

As the weak structure of geotechnical engineering, frozen rock joints determine the stability of geotechnical engineering in frozen region. To study the influencing factors of the peak shear displacement of frozen rock joints, three groups of tuff coupling joints (upper and lower joints completely coincide) are selected in Jiangluling Tunnel, Qinghai Province, China. The joint surface morphology is obtained by three-dimensional scanning technology. The joints are frozen at – 35 ℃ for 12 h before direct shear test. The test results show that there are three main shear failure patterns of frozen rock joints, which are mainly determined by the opening degree of joints. The peak shear displacement decreases with the increase in joints surface roughness and opening degree, and increases with the increase in normal stress. By analyzing the characteristics of peak shear displacement under different opening degrees and normal stress, the influencing factors of peak shear displacement and shear strength of frozen rock joints are discussed. On this basis, the expression of peak shear displacement of frozen rock joints is proposed. It provides a theoretical basis for quantitative study on shear deformation of frozen rock joints. The study provides technical support for geotechnical engineering construction and rock slope instability prevention in frozen region.

Suggested Citation

  • Yalu Han & Lizhi Du & Shiwei Shen, 2023. "Study on shear test and shear displacement of frozen joints with different opening degrees," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 289-307, January.
    • Handle: RePEc:spr:nathaz:v:115:y:2023:i:1:d:10.1007_s11069-022-05555-w
    DOI: 10.1007/s11069-022-05555-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05555-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05555-w?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.

    References listed on IDEAS

    as
    1. Silvana Moragues & María Gabriela Lenzano & Mario Lanfri & Stella Moreiras & Esteban Lannutti & Luis Lenzano, 2021. "Analytic hierarchy process applied to landslide susceptibility mapping of the North Branch of Argentino Lake, Argentina," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 915-941, January.
    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. Idris Bello Yamusa & Mohd Suhaili Ismail & Abdulwaheed Tella, 2022. "Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    2. Rui-Xuan Tang & E-Chuan Yan & Tao Wen & Xiao-Meng Yin & Wei Tang, 2021. "Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    3. Ge Yan & Guoan Tang & Sijin Li & Dingyang Lu & Liyang Xiong & Shouyun Liang, 2023. "Uncertainty in regional scale assessment of landslide susceptibility using various resolutions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 399-423, May.
    4. Hui Shang & Sihang Liu & Jiaxin Zhong & Paraskevas Tsangaratos & Ioanna Ilia & Wei Chen & Yunzhi Chen & Yang Liu, 2024. "Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility mapping in Pengyang County, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 12043-12079, October.
    5. Jinming Zhang & Jianxi Qian & Yuefeng Lu & Xueyuan Li & Zhenqi Song, 2024. "Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China," Sustainability, MDPI, vol. 16(16), pages 1-22, August.
    6. Michael Makonyo & Zahor Zahor, 2023. "GIS-based analysis of landslides susceptibility mapping: a case study of Lushoto district, north-eastern Tanzania," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1085-1115, September.

    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:spr:nathaz:v:115:y:2023:i:1:d:10.1007_s11069-022-05555-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.