【摘要】 顶板是一种典型非均质岩石材料,在其破坏演化过程中将释放能量产生地震波。采用多分辨率小波技术,对顶板活动诱发地震波所蕴涵的突变特征进行了基于Lipschitz a指数的第一、二类突变异常点识别研究。实例表明,用多分辨率小波可有效对地震波所蕴涵的突变异常信息点进行多尺度辨析,能够对顶板冒落灾变前兆信息进行有效地把握,这为岩石工程中的灾变预报提供了新的思路。更多还原

【Abstract】 Roof is composed of heterogeneous rock. When roof failure happens,a large amount of energy would release in the form of seismic wave. There are many common methods,such as Fourier transformation,filter technique,etc. to identity the abnormal signal of seismic wave,but the identification accuracy is quite low. Multi-resolution wavelet technique is used to identify the first and second variation point,based on the Lipschitz. An example analysis shows that multi-resolution wavelet technique can identify the abnormal signal of seismic wave effectively in different scales,and the omen of roof fall can be grasped accurately. The presented study provides a new idea for the prediction of catastrophe of rock engineering.更多还原