IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p17028-d1008009.html
   My bibliography  Save this article

Investigation on the Seismic Wave Propagation Characteristics Excited by Explosion Source in High-Steep Rock Slope Site Using Discrete Element Method

Author

Listed:
  • Danqing Song

    (School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
    State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China)

  • Xuerui Quan

    (School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China)

  • Mengxin Liu

    (School of Civil Engineering, Northeast Forestry University, Harbin 150040, China)

  • Chun Liu

    (School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China)

  • Weihua Liu

    (SINOPEC Key Laboratory of Geophysics, Nanjing 211103, China)

  • Xiaoyu Wang

    (School of Civil Engineering, Northeast Forestry University, Harbin 150040, China)

  • Dechao Han

    (SINOPEC Key Laboratory of Geophysics, Nanjing 211103, China)

Abstract

The influence of seismic waves induced by explosion sources on the dynamic response characteristics of rock slope sites is one of the most important problems affecting engineering construction. To investigate the wave propagation characteristics and attenuation law of seismic waves induced by explosive sources in rock sites from the perspective of time and frequency domains, the high-performance matrix discrete element method (MatDEM) is used to carry out numerical simulation tests on a granite rock medium site. The discrete element model of the high-steep rock slope is established by MatDEM, and the dynamic analysis of the rock medium site is conducted by loading blasting vibration load to generate seismic waves. The results show that the seismic waves in the rock site present characteristics of arc propagation attenuation. The maximum attenuation rate of the dynamic response is the fastest within 0.3 s and 25 m from the explosion source. The slope region can weaken the dynamic response of seismic waves generated by the explosion source. In particular, the high-frequency band (>20 Hz) has an obvious filtering effect. The dynamic response of the P-wave induced by the explosive source is greater than that of the S-wave in the bedrock and surface region. The dynamic amplification effect of the P-wave is greater than that of the S-wave in the slope region. The seismic waves in the slope region show an attenuation effect along the slope surface and have a typical elevation amplification effect inside the slope.

Suggested Citation

  • Danqing Song & Xuerui Quan & Mengxin Liu & Chun Liu & Weihua Liu & Xiaoyu Wang & Dechao Han, 2022. "Investigation on the Seismic Wave Propagation Characteristics Excited by Explosion Source in High-Steep Rock Slope Site Using Discrete Element Method," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:17028-:d:1008009
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/17028/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/24/17028/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhuo Chen & Danqing Song, 2021. "Numerical investigation of the recent Chenhecun landslide (Gansu, China) using the discrete element method," 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 717-733, January.
    2. Chen Xu & Yujie Zhu & Danqing Song & Xiaoli Liu & Wanli Guo & Enzhi Wang, 2022. "Spacing Optimization of the TBM Disc Cutter Rock Fragmentation, Based on the Energy Entropy Method," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    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. Jiaxuan Huang & Weichao Du & Mowen Xie, 2023. "Numerical Modeling of Kinetic Features and Stability Analysis of Jinpingzi Landslide," Land, MDPI, vol. 12(3), pages 1-17, March.
    2. Han Du & Danqing Song, 2022. "Investigation of failure prediction of open-pit coal mine landslides containing complex geological structures using the inverse velocity method," 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. 111(3), pages 2819-2854, April.

    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:14:y:2022:i:24:p:17028-:d:1008009. 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.