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Indirect method for the quantitative identification of unstable rock

Author

Listed:
  • Yan Du

    (University of Science and Technology Beijing
    China University of Mining and Technology (Beijing))

  • Mowen Xie

    (University of Science and Technology Beijing)

Abstract

Under the influence of continuous external factors (rainfall, earthquakes, construction, etc.), slope rock masses in a stable state can gradually transition to unstable rock, which can then collapse. A safety factor can identify the occurrence of failure but cannot identify the transition of stable rock to unstable rock; thus, it cannot realise the quantitative identification of the latter. In this study, a cohesive safety factor (CSF) and a relatively objective analysis method are proposed to effectively identify unstable rock. The CSF can be calculated by the natural vibration frequency and applied as a mechanical index to characterise unstable rock; when CSF is less than 1, the rock is defined as unstable. Compared with the traditional method, the new method has the merits of simple operation, low cost and high efficiency and provides a relatively complete quantitative evaluation index and evaluation criteria for quantitative identification of unstable rock for engineers engaged in early warning and prevention of rock collapse.

Suggested Citation

  • Yan Du & Mowen Xie, 2022. "Indirect method for the quantitative identification of unstable rock," 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. 112(1), pages 1005-1012, May.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:1:d:10.1007_s11069-021-05197-4
    DOI: 10.1007/s11069-021-05197-4
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    References listed on IDEAS

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    1. Yong Wu & Xinpo Li & Lei Zhu, 2021. "Fracture mechanism of rock collapse in the freeze–thaw zone of the eastern Sichuan–Tibet Mountains under seasonal fluctuating combinations of water and heat," 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. 108(2), pages 2309-2333, September.
    2. Zijun Feng & Yangsheng Zhao & Zengchao Feng, 2021. "Indeterminacy of displacement and stress of geologic rock mass system in the critically non-stationary state: implication on prediction of geo-hazards," 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. 107(2), pages 1105-1124, June.
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    Citations

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    Cited by:

    1. Yu Zhou & Wenjun Lv & Zihan Zhou & Qiongqiong Tang & Guansheng Han & Jianshuai Hao & Weiqiang Chen & Faquan Wu, 2023. "New failure criterion for rock slopes with intermittent joints based on energy mutation," 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(1), pages 407-425, August.
    2. Yan Du & Lize Ning & Santos D . Chicas & Mowen Xie, 2023. "A new early warning Criterion for assessing landslide risk," 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. 116(1), pages 537-549, March.
    3. Linfeng Wang & Jixu Zhang & Xiaoming Huang & Guojin Tan, 2023. "Study on the Dynamic Stability and Spectral Characteristics of a Toppling Dangerous Rock Mass under Seismic Excitation," Sustainability, MDPI, vol. 15(21), pages 1-21, October.

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