基于小波理论的岩体质量声波多参数分级方法
The Multi-Parameter Ultrasonic Identification of Rock Mass Quality Evaluation Method Based on Wavelet Theory
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摘要: 文章在传统的超声波速分级基础上,通过对超声信号的小波变换及频谱分析,提取不同频段的超声波动力学参数,综合考虑超声波运动学和动力学特征,采用系统聚类和逐步回归法确定分级因素、归一化后的多元线性回归法确定分级模式,建立了基于小波理论的岩体质量声波多参数分级方法.经过对比分析,证明新方法可提高声波岩体质量评价方法的可靠性和准确性.Abstract: Based on the classical identification method with ultrasonic velocity,wavelet transformation and spectrum analysis are applied to analyze ultrasonic testing signals and then dynamical parameters in different frequency band are put forward.Using cluster analysis,correlative analysis and stepwise regressive analysis,a method of multi-parameter ultrasonic identification for rock mass is suggested based on wavelet theory.Using comparative analysis,the reliability and accuracy of the new evaluation method are improved.