岩石声发射信号处理方法及频谱分析研究
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摘要
通过对红砂岩试样的单轴压缩声发射试验,结合试验所获得的声发射累积能量曲线,分别选取试样低应力水平和高应力水平时所释放的声发射原始波形信号,基于小波分析理论,分别采用小波阈值去噪方法中的rigrsure、heursure、sqtwolog和minimaxi阈值规则对所选取的声发射原始波形信号进行去噪处理,并通过快速傅里叶变换对去噪后的信号进行相应的频谱分析。结果表明,rigrsure阈值规则对声发射原始波形信号的去噪效果最好,去噪后所获得的二维频谱图,不含因噪声存在而形成的零乱小峰值;声发射信号的二维频谱图,在低应力水平时多表现为单峰,在高应力水平时多表现为双峰或多峰。
Through the uniaxial compression acoustic emission test of red sandstone samples,combined with the cumulative energy curve of acoustic emission obtained from the test,the original acoustic emission waveform signals released by the samples at low stress level and high stress level are selected respectively.Based on wavelet analysis theory,rigrsure,heursure,sqtwolog and minimaxi threshold rules in wavelet threshold denoising methods are respectively used to denoise the selected acoustic emission original waveform signals,and the corresponding spectrum analysis of the denoised signals is carried out through fast Fourier transform.The results show that the rigrsure threshold rule has the best denoising effect on the original waveform signal of the acoustic emission.The two-dimensional spectrum obtained after denoising does not contain scattered small peaks caused by noise.The two-dimensional spectrum of acoustic emission signals is mostly single peak at low stress level and double and mostly multiple peaks at high stress level.
Through the uniaxial compression acoustic emission test of red sandstone samples,combined with the cumulative energy curve of acoustic emission obtained from the test,the original acoustic emission waveform signals released by the samples at low stress level and high stress level are selected respectively.Based on wavelet analysis theory,rigrsure,heursure,sqtwolog and minimaxi threshold rules in wavelet threshold denoising methods are respectively used to denoise the selected acoustic emission original waveform signals,and the corresponding spectrum analysis of the denoised signals is carried out through fast Fourier transform.The results show that the rigrsure threshold rule has the best denoising effect on the original waveform signal of the acoustic emission.The two-dimensional spectrum obtained after denoising does not contain scattered small peaks caused by noise.The two-dimensional spectrum of acoustic emission signals is mostly single peak at low stress level and double and mostly multiple peaks at high stress level.
引文
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[2]杨瑞峰,马铁华.声发射技术研究及应用进展[J].中北大学学报(自然科学版),2006(5):456-461.
[3]何满潮,赵菲,张昱,等.瞬时应变型岩爆模拟试验中花岗岩主频特征演化规律分析[J].岩土力学,2015,36(1):1-8.
[4]张艳博,黄晓红,李莎莎,等.含水砂岩在破坏过程中的频谱特性分析[J].岩土力学,2013,34(6):1574-1578.
[5]李楠,王恩元,赵恩来,等.岩石循环加载和分级加载损伤破坏声发射实验研究[J].煤炭学报,2010,35(7):1099-1103.
[6]苗金丽,何满潮,李德建,等.花岗岩应变岩爆声发射特征及微观断裂机制[J].岩石力学与工程学报,2009,28(8):1593-1603.
[7]黄晓红,席婷,张艳博,等.石灰岩声发射分析及源定位研究[J].矿业研究与开发,2014,34(3):70-73.
[8]张艳博,于光远,田宝柱,等.花岗岩巷道岩爆声发射信号主频特性试验研究[J].岩土力学,2017,38(5):1258-1266.
[9]李期森,赵奎,周国辉,等.岩石单轴压缩条件下不同变形阶段声发射特征研究[J].化工矿物与加工,2018,47(10):43-46.