基于埋入式压电智能骨料的裂缝修补深度质量检测试验研究

Experimental Analysis of Concrete Cracks Mending Depth Recognition Based on Embedding Piezoelectric Intelligent Aggregate

在缺陷混凝土构件的裂缝修补问题中,仅通过外观检测无法准确判断其修补质量,而目前缺少高效、规范的无损检测手段。通过在结构中预先埋入压电“智能骨料”,对比分析应力波在不同介质条件中发射及接收信号的差异,以及应用信号处理技术的相关知识,对裂缝修补不同阶段产生的信号变化进行研究,并由此评估裂缝修补质量。研究结果表明:混凝土裂缝深度大小对“智能骨料”接收端接收到的应力波波形有着很大的影响,通过对接收信号进行时域分析,进而利用小波包分解处理后的能量分析后发现,即使初始裂缝深度不同,修补完好的构件将具有相近的能量值。因此,在该方法中将基于小波包能量得到的裂缝修补质量的评价指标是切实可行的。

In order to solve the problem of crack repair of defective concrete members,the repair quality can not be accurately judged by appearance inspection only,and there is a lack of efficient and standardized nondestructive testing means.By pre-embedding piezoelectric"smart aggregate"in the structure,the difference of stress wave transmitting and receiving signals in different media conditions is compared and analyzed,and the relevant knowledge of signal pro-cessing technology is applied to study the signal changes generated in different stages of crack repair,and thus evaluate the quality of crack repair.The research results show that the depth of concrete cracks has a great influence on the stress wave shape received by the receiving end of"smart aggregate".Through time domain analysis of the received signals,and then energy analysis after wavelet packet decomposition,it is found that even if the initial crack depth is different,the repaired components will have similar energy values.In this method,the evaluation index of crack repair quality based on wavelet packet energy is feasible.