The rock masses that occur in nature are damaged and unstable due to the impact of rock burst, coal and gas outbursts, and other human mining activities, posing a major threat to human life and safety. In the light of the early warning of the danger of the loaded rock mass, this paper adopts acoustic emission (AE) device to analyze the AE signal characteristics and damage laws of the loaded rock under different stress levels. Then, based on the AE signal characteristics of the loaded rock, data mining technology is used to construct a model to predict the failure and instability of the loaded rock mass and, finally, verify the reliability of the prediction model based on data mining. The results show that the AE signal characteristics of red sandstone under uniaxial load are related to the magnitude of the bearing stress. Before the plastic deformation stage, the AE energy and the cumulative count per second are both small. After the loaded rock enters the plastic deformation stage, the AE energy and the cumulative count per second both increase sharply. After the AE energy is greater than 500 mVms and the cumulative count per second is greater than 150, the loaded rock mass will issue an early warning signal. The research results can provide a reference value for the safe production of the project site and the dangerous early warning of the loaded rock mass.

中文翻译：

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基于数据挖掘的加载岩体声发射特性预测加载岩体稳定性

自然界中发生的岩体由于受到岩爆、煤、瓦斯突出等人类开采活动的影响，遭到破坏和不稳定，对人类生命安全构成重大威胁。针对加载岩体危险性的预警，本文采用声发射（AE）装置分析加载岩体在不同应力水平下的声发射信号特征及损伤规律。然后，基于加载岩体的声发射信号特征，利用数据挖掘技术构建模型，预测加载岩体的破坏和失稳，最后验证基于数据挖掘的预测模型的可靠性。结果表明，单轴载荷作用下红砂岩的声发射信号特征与承载应力的大小有关。在塑性变形阶段之前，AE 能量和每秒累积计数都很小。加载后的岩石进入塑性变形阶段后，AE能量和每秒累积计数均急剧增加。AE能量大于500mV后ms 且每秒累计计数大于 150 时，加载岩体将发出预警信号。研究结果可为工程现场的安全生产和加载岩体的危险预警提供参考价值。