欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
首先对声发射信号进行分频处理,分析岩石损伤破裂演化过程中声发射信号频段分布规律。根据岩石断裂模式与声发射频率存在一定的对应关系,证明了岩石破裂监测中声发射前兆优势频段的存在,进一步构建前兆优势频段的计算方法,确定声发射监测岩石破裂的最优短临预报参数。通过开展花岗岩圆形隧洞模型水平卸荷试验,分析整个过程的声发射信号,寻找前兆优势频段,以此验证方法的可靠性。研究结果表明,水平方向卸荷瞬间,隧洞两壁发生劈裂破坏,频段（31.25～62 k Hz）的小波能量占比达73%以上。临近最终破裂,频段（7.8125～15.625 k Hz）变能系数ζCD6由前一刻的0.5突增到15,具有典型的灾变响应特征,可以确定该频段为声发射前兆优势频段。选择ζ′CD6作为宏观破裂的短临预报参数,再结合临近最终破裂前声发射主频在频段（90～105 k Hz）和（13～20 k Hz）所出现的响应突现规律,可以为预测花岗岩圆形隧洞模型的失稳破坏提供预警参量。
英文摘要：
The mathematical methods of FFT and wavelet transform are used to deal with the acoustic emission （AE） frequency information of rock fracture firstly. Combined with the spectral distribution of AE signal, the main response spectrum of this lithology in specific form of fracture is selected. The AE precursor advantage spectrum and its calculation method, the most suitable short-term and optimal impending prediction parameters should be optimized, which gives a new way to monitor the disasters of rock mass engineering. In order to prove the validity of this method, the circular tunnel model is used in horizontal unloading tests in laboratory. The results show that the model edge wall around the tunnel is fractured at the moment of horizontal unloading. The energy achieves 73% between 31.25 and 62 kHz, which reflects the properties of rock materials. When it is near the breakdown （TP=2425 s）, the changing coefficient of ζCD6 becomes from 0.5 to 15, and it has characteristics of typical disaster response. （7.8125 - 15.625 kHz） is the precursor advantage spectrum, and ζ′CD6 can be used as the maoro rupture of short-term and impending prediction parameters combined with the sudden emergence in （90 - 105 kHz） and （13 - 20kHz） of AE main-frequency. The proposed method may provide new characteristic parameters for disasters monitoring and early warning in rock mass engineering.
同期刊论文项目
同项目期刊论文
期刊信息
位置：