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基于 PZT 传感器的煤岩裂隙监测的数值与实验研究。

Numerical and experimental study on monitoring coal cracks with PZT sensor.

机构信息

College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China.

Key Laboratory of Mine Thermo-Motive Disaster and Prevention, Ministry of Education, Huludao, 125105, Liaoning, China.

出版信息

Sci Rep. 2023 Jan 18;13(1):1016. doi: 10.1038/s41598-023-28199-7.

DOI:10.1038/s41598-023-28199-7
PMID:36653460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9849455/
Abstract

The rupture of coal pillar can lead to spontaneous combustion or collapse of goaf, which endangers the safety of workers. To explore the relationship between the crack depth of the coal structure and the signal received by the piezoelectric ceramic sensor, the output data of coal samples were analyzed by using the piezoelectric effect, combined with the experiment and ABAQUS simulation. Based on the signal amplitude, the output signal characteristics of the coal model with different crack depths were analyzed, and the evaluation index of coal crack cracking degree (D) was defined. The results show that the piezoelectric fluctuation method can effectively identify the local cracks of coal. When the distance between the lead Piezoelectric Transducer (PZT) patch and crack position is constant, the amplitude of the PZT patch output signal will decay with the deepening of the crack depth, while the value of increases with the increase of crack depth. This study provides a theoretical basis for mine disaster prevention and control.

摘要

煤柱的破裂会导致采空区自燃或坍塌，从而危及工人的安全。为了探究煤体结构裂缝深度与压电陶瓷传感器接收到的信号之间的关系，利用压电效应，结合实验和 ABAQUS 模拟对煤样的输出数据进行了分析。基于信号幅度，分析了具有不同裂缝深度的煤模型的输出信号特征，并定义了煤裂缝破裂程度（D）的评价指标。结果表明，压电波动法可以有效地识别煤的局部裂缝。当铅压电换能器（PZT）贴片与裂缝位置之间的距离恒定时，PZT 贴片输出信号的幅度会随裂缝深度的加深而衰减，而随裂缝深度的增加而增大。这项研究为矿山灾害防治提供了理论依据。

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