Indirect method for the quantitative identification of unstable rock

Yan Du () and Mowen Xie
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Yan Du: University of Science and Technology Beijing
Mowen Xie: University of Science and Technology Beijing

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 112, issue 1, No 42, 1005-1012

Abstract: 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.

Keywords: Unstable rock; Quantitative identification; Natural vibration frequency; Laser Doppler vibrometer (LDV); Indirect method (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11069-021-05197-4

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