基于小波变换的岩体AE波形特征研究
|
摘要
文章对室内声发射事件能率与应力的关系及波形特性进行了分析。通过小波变换,将室内岩体声发射等波形分解成低频和高频信号,对其原始声发射波形、细节信号和近似信号进行比较与分析,结果表明岩体在变形损伤破裂过程中不同时期的声发射波形特征不同。据此,可建立声发射波形特征库,用于预测预报岩体受损变形过程的发展趋势和规律。对含有信号部分的小波系数进行重构后,该信号与原始信号的误差小于10-10,说明小波分析可使岩体声发射波形特征预测预报的准确度和可靠性得以提高。
The relationship between stress and AE rate and wave characteristics of AE in laboratory were analyzed in the paper.Based on wavelet transform,the rock AE wave in laboratory was decomposed into high and low frequency signal,then the original AE wave,detailed signal and approximate signal were(analyzed) and compared,and the result showed that wave characteristics of rock AE in different period were not same in the course of rock distortion,damnification and fracture.So it can build AE wave characteristics storehouse which was used to forecast development trend and regularity in the course of rock distortion,damnification and fracture.The error between the original signal and the reconstructed signal of wave(coefficient) containing signal elements was less than 10~(-10),which indicated that the wavelet(analysis) can improve accuracy and reliability of forecasting wave characteristics of rock AE.
The relationship between stress and AE rate and wave characteristics of AE in laboratory were analyzed in the paper.Based on wavelet transform,the rock AE wave in laboratory was decomposed into high and low frequency signal,then the original AE wave,detailed signal and approximate signal were(analyzed) and compared,and the result showed that wave characteristics of rock AE in different period were not same in the course of rock distortion,damnification and fracture.So it can build AE wave characteristics storehouse which was used to forecast development trend and regularity in the course of rock distortion,damnification and fracture.The error between the original signal and the reconstructed signal of wave(coefficient) containing signal elements was less than 10~(-10),which indicated that the wavelet(analysis) can improve accuracy and reliability of forecasting wave characteristics of rock AE.
引文
[1]王恩元,何学秋,刘贞堂.受载煤体电磁辐射的频谱特征[J].煤炭学报,2003(9):289~292.
[2]飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005.
[3]田增国.长江三峡永久船闸边坡故障诊断——声发射信号分析处理研究[D].武汉:武汉科技大学,2002.
[4]陈顺云,杨润海.小波分析在声发射资料处理中的初步应用[J].地震研究,2002(10):328~334.
[5]逢焕东,张兴民,姜福兴.岩石类材料声发射事件的波谱分析[J].煤炭学报,2004(10):540~544.
[2]飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005.
[3]田增国.长江三峡永久船闸边坡故障诊断——声发射信号分析处理研究[D].武汉:武汉科技大学,2002.
[4]陈顺云,杨润海.小波分析在声发射资料处理中的初步应用[J].地震研究,2002(10):328~334.
[5]逢焕东,张兴民,姜福兴.岩石类材料声发射事件的波谱分析[J].煤炭学报,2004(10):540~544.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心