小波包和功率谱密度分析法在混凝土龄期强度监测中的应用  

Application of Wavelet Packet and Power Spectral Density Analysis in Early Age of Concrete Strength Monitoring

作　　者：崔俊[1] 王秋良[1] 

机构地区：[1]中国地震局地震研究所地震与大地测量重点实验室,武汉430071

出　　处：《传感技术学报》2017年第7期1131-1138,共8页Chinese Journal of Sensors and Actuators

摘　　要：利用压电智能骨料激发的应力波,对混凝土28 d内目标龄期进行信号监测试验研究,并通过功率谱密度和小波包能量分析法对混凝土龄期内监测信号进行分析。试验结果表明:混凝土目标龄期内,随着时间的逐渐增加,混凝土试件中传感器监测信号的小波包能量和功率谱密度的幅值随时间的变化趋势呈现出非线性增长,6 d和12 d是增长变化的分界点,其幅值分别达到了2.345×104V2、3.923×104V2和61.54 pV^2/Hz,98.86 pV^2/Hz。其试验结果与混凝土试件在实际养护过程中试件强度的变化规律具有很好的一致性。The stress wave generated by a piezoelectric patch and signal monitoring testwere conducted in each target age within 28 d. Power spectral density and wavelet packets energy algorithms wereemployed to analyze the stress wave signals received by the sensors at concrete. It＇s showed from the experiment results that during the con- crete curing period, the change of the wavelet packet energy of sensor signals and the power spectral density under structure natural frequency showed a nonlinear increase with time：and 6 d and 12 d were the boundary points of the change. The amplitude reached 2.345× 10^4 V^2, 3.923× 10^4 V^2 and 61.54 pV2/Hz,98.86 pV2/Hz. The test results have been proven to coincide well with the change rules of the strength of specimens in the process of practical ma- intenance.

关 键 词：小波包能量分析 功率谱密度分析 混凝土龄期强度 压电智能骨料 幅值 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]