This paper explores a new approach for assessing the stability of a hazardous rock block on a slope using vibration feature parameters. A physical model experiment is designed in which a thermally sensitive material is incorporated into the potential failure plane of the hazardous rock, and the complete process of hazardous rock collapse caused by strength deterioration is simulated by means of constant-temperature heat transfer. Moreover, the vibration response of the hazardous rock is monitored in real time by laser vibrometry. The experimental results show that five vibration feature parameters, including the mean frequency, the center frequency, the peak frequency, the mean frequency standard deviation, and the root mean square frequency, are well-correlated with rock stability. Furthermore, through principal component analysis, the five vibration feature parameters are synthesized into a principal component factor (PCF) as a representative assessment parameter. The results of the analysis demonstrate that the variation in the PCF exhibits three characteristic stages, i.e., “stationary-deviation-acceleration,” and can effectively identify the stability evolution trend and collapse precursor behavior of hazardous rock block.

中文翻译：

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基于振动特征参数的实验危险岩块稳定性评估

本文探索了一种使用振动特征参数评估边坡上危险岩块稳定性的新方法。设计了一个物理模型实验，其中将热敏材料掺入危险岩石的潜在破坏面，并通过恒温传热来模拟由于强度降低而导致的危险岩石坍塌的整个过程。此外，可通过激光振动测定法实时监测危险岩石的振动响应。实验结果表明，平均频率，中心频率，峰值频率，平均频率标准偏差和均方根频率这五个振动特征参数与岩石稳定性密切相关。此外，通过主成分分析，五个振动特征参数被合成为主要成分因子（PCF）作为代表评估参数。分析结果表明，PCF的变化表现出“平稳-偏移-加速”三个特征阶段，可以有效地识别危险岩块的稳定性演化趋势和崩塌前兆行为。