Stability Evaluation of Sliding-Type Perilous Rock in Huangzangsi Hydrojunction Project Based on Natural Vibration Frequency

Abstract

The instability of perilous rock is mostly manifested as sudden collapse and failure without obvious displacement characteristics. Therefore, it is difficult to achieve the purpose of monitoring and early warning by conventional displacement monitoring. But the existing stability monitoring indicators are mostly deformation, stress, and strain. There is a problem that the stability evaluation parameters are inconsistent with the monitoring parameters. Taking sliding-type perilous rock as the research object, the structural plane is assumed to be homogeneous and isotropic, and linear elastic deformation in the amplitude range. Based on the dynamic theory and limit equilibrium model, the quantitative relationship model can be established involving safety factors, natural vibration frequency, structural surface bonding area, elastic modulus, and mass. The remote laser vibrometer is used to monitor the natural vibration frequency of the sliding-type perilous rock on the slope of the Huangzangsi Hydrojunction, and the stability evaluation of the perilous rock is achieved based on the quantitative relationship model between the safety factor and the natural vibration frequency. In this way, the frequency of slipping perilous rock stability evaluation and safety factor can be monitored. The results are basically the same with the safety factor calculated by the limit equilibrium method, indicating that the method is correct and feasible. The research has high theoretical significance and practical value for the safety monitoring and advanced warning of sliding perilous rock.

Effect of rock porosity on the natural frequency of the sample: theoretical model and experiment

“…Among others, Song et al (2019a) investigated the effects of natural frequencies on the slope dynamic characteristics, and they concluded that the high-and low-frequency components mainly induce local and overall deformation of the surface slope of the rock, respectively. In order to achieve the stability evaluation of the perilous rock, Jia et al (2023aJia et al ( , 2022 found that the natural frequency increases nonlinearly in the horizontal direction with the increasing buried depth of the unstable rock, and they established the quantitative relationship model between the safety factor and natural frequency. Xie et al (2021) established a three-dimensional (3-D) analysis method for the rock vibration, and they proved the effectiveness for the rock stability analysis based on the natural frequency.…”

Study on Early Identification of Landslide Perilous Rocks Based on Multi-Dynamics Parameters

“…Du Yan [21] and other rock mass collapse disaster early warning ideas based on the identification of damage precursors in the separation stage have obtained an early monitoring and early warning index system based on a trinity of dynamic indicators, static indicators, and environmental quantity indicators. Jia Yanchang [22] and others calculated the bonding area between the perilous rock block and the parent rock by real-time monitoring of the natural vibration frequency of the perilous rock block and realized its stability accurately and quickly. Zhao Chen [23] and others introduced the concept of mutual approximation entropy and extended it to three dimensions, and realized the quantitative analysis of particle trajectories, which provided a new research idea for the early warning of perilous rock damage identification and collapse.…”