IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p937-d1025153.html
   My bibliography  Save this article

Application of a Combined FEM/DEM Approach for Teaching a Deep Rock Mass Mechanics Course

Author

Listed:
  • Fan Feng

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    National Demonstration Center for Experimental Mining Engineering Education, Shandong University of Science and Technology, Qingdao 266590, China)

  • Zhiwei Xie

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    National Demonstration Center for Experimental Mining Engineering Education, Shandong University of Science and Technology, Qingdao 266590, China)

  • Tianxi Xue

    (Jiaojia Gold Mine, Shandong Gold Mining Industry Co., Ltd., Laizhou 261441, China)

  • Eryu Wang

    (School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China)

  • Ruifeng Huang

    (School of Emergence Technology and Management, North China Institute of Science and Technology, Langfang 065201, China)

  • Xuelong Li

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    National Demonstration Center for Experimental Mining Engineering Education, Shandong University of Science and Technology, Qingdao 266590, China)

  • Shixian Gao

    (College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Deep rock mass mechanics is a professional course which is offered to undergraduate and postgraduate students in some mining universities. This course mainly includes the following topics: the geological structure of deep rock mass, the mechanical properties of deep rocks, the strength theory of deep rock masses, stability analysis and control of deep surrounding rock classification of engineering rock masses, and the application of deep rock mechanics in underground mining engineering The purpose of this course is to present students with a basic theoretical knowledge of deep rock mass engineering. Analyzing the limitations of traditional deep rock mass mechanics teaching methods, here, we propose integrating a combined FEM/DEM (Finite Element Method/Discrete Element Method) approach into the teaching of a course on deep rock mass mechanics. The mechanical behaviors and failure instability process of rock at laboratory and engineering scales were analyzed using ELFEN software (a finite/discrete element code). The results show that a combined FEM/DEM approach as a deep rock mass mechanics teaching method is completely feasible and reasonable; this approach has the advantages of strong intuition, high reliability, time and labor savings, and low cost, which can offset the shortcomings of traditional teaching methods. Moreover, the proposed approach can stimulate students’ interests in a mining course on deep rock mass mechanics, deepen students’ understanding of the course curriculum, and cultivate students’ innovative abilities and subjective initiatives.

Suggested Citation

  • Fan Feng & Zhiwei Xie & Tianxi Xue & Eryu Wang & Ruifeng Huang & Xuelong Li & Shixian Gao, 2023. "Application of a Combined FEM/DEM Approach for Teaching a Deep Rock Mass Mechanics Course," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:937-:d:1025153
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/937/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/2/937/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhen Cui & Qian Sheng & Qingzi Luo & Guimin Zhang, 2021. "Investigating the Anisotropy of Mechanical Parameters of Schist Rock with Practical Numerical Methods," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    2. Lintian Miao & Zhonghui Duan & Yucheng Xia & Rongjun Du & Tingting Lv & Xueyang Sun, 2022. "Analysis of Factors Influencing Mining Damage Based on Engineering Detection and Machine Learning," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    3. Hongyang Liu & Zhibin Lin & Chengwei Liu & Boyang Zhang & Chen Wang & Jiangang Liu & Huajie Liang, 2022. "Stability Analysis of Karst Tunnels Based on a Strain Hardening–Softening Model and Seepage Characteristics," Sustainability, MDPI, vol. 14(15), pages 1-19, August.
    4. Jun Li & Zheng Wu & Wenlong Zhang & Nianjie Ma & Shuying Guo, 2022. "Study on Shape Characteristics of Plastic Zone in Heterogeneous Roadway-Surrounding Rock," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ling Dong & Dong Wang & Xiaoming Sun & Yujing Jiang & Hengjie Luan & Huichen Xu & Baocheng Li & Feng Cai, 2023. "Large-Deformation Failure Mechanism and Stability Control of a Swelling Soft Rock Roadway in a Sea Area: A Case Study in Eastern China," Sustainability, MDPI, vol. 15(6), pages 1-12, March.

    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. Junbiao Ma & Ning Jiang & Xujun Wang & Xiaodong Jia & Dehao Yao, 2021. "Numerical Study of the Strength and Characteristics of Sandstone Samples with Combined Double Hole and Double Fissure Defects," Sustainability, MDPI, vol. 13(13), pages 1-16, June.

    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:2:p:937-:d:1025153. 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.