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通过室内模拟花岗岩巷道岩爆试验,基于线性函数转换的归一化算法,将试验中获得的声发射场和红外温度场等多参量进行归一化处理,在分析其原始曲线特征的基础上,分析各参量在同一尺度下的演化特征,综合研究花岗岩巷道岩爆前兆。研究结果表明:声发射事件率、声发射能率、最高和最低红外辐射温度均适合作为岩爆灾害预测的主要参数。岩爆发生过程中各参量经过归一化处理,在统一尺度下能够快速、有效地识别岩爆发生的前兆。声发射能量加速释放是岩爆发生的早期预警信息;声发射平静期可作为岩爆灾害预警与采取控制措施的关键时期;最低辐射温度突降和最高辐射温度突增表明岩爆随时都有可能发生,这是岩爆发生的征兆。试验结果为岩爆灾害预测研究提供了新的方法和依据。
Based on the rockburst test of indoor simulation granite roadway and the normalized algorithm based on linear function transformation, the acoustic emission field and infrared temperature field obtained in the experiment are normalized. Based on the analysis of the original curve characteristics, The evolution characteristics of each parameter under the same scale are analyzed, and the precursor of rockburst in granite roadway is comprehensively studied. The results show that acoustic emission event rate, acoustic emission rate, maximum and minimum infrared radiation temperature are all suitable as the main parameters of rock burst prediction. During the rockburst, all the parameters are normalized and can quickly and effectively identify the precursory of rock burst under unified scale. The accelerated release of AE energy is early warning information of rockburst. AE period can be used as a key period for warning and control of rock burst. The sudden drop of the minimum radiation temperature and the sudden increase of the maximum radiation temperature indicate that the rock burst may be at any time This is a sign of a rock burst. The test results provide a new method and basis for the research of rockburst prediction.