Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang 621900, China.
Research Center of Structural Health Monitoring and Prognosis, State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel). 2020 Feb 26;20(5):1265. doi: 10.3390/s20051265.
Elastic-wave-based structural health monitoring technology has a broad application potential for its sensitivity and ability to achieve regional monitoring. For structures with large damping and specific shapes, the traditional damage monitoring method is limited by the sensor arrangement area and affected by low signal-to-noise ratios, so it is difficult to accurately locate the damage in a structure. To solve this problem, this paper proposed a damage monitoring method based on a sector piezoelectric sensor array for multiple signal classification algorithm. By arranging two sector piezoelectric sensor arrays that are suitable for a specific structure, the damage scattering array signal under the multi-excitation source was obtained and synthesized, the signal-to-noise ratios were improved, and the damage location accuracy was thus improved. The effectiveness of the method was verified by monitoring the damage in a circular bonded structure with a metal ring. Compared with the damage localization methods based on the traditional single excitation source multiple signal classification algorithm, path imaging and delay-sum imaging, this method can achieve better damage location and has a higher localization accuracy.
基于弹性波的结构健康监测技术具有灵敏度高、能够实现区域监测的特点，具有广阔的应用潜力。对于阻尼较大、形状特殊的结构，传统的损伤监测方法受到传感器布置面积的限制，并且受到低信噪比的影响，因此很难准确确定结构中的损伤位置。为了解决这个问题，本文提出了一种基于扇形压电传感器阵列和多信号分类算法的损伤监测方法。通过布置两个适合特定结构的扇形压电传感器阵列，获得多激励源下的损伤散射阵列信号，并进行合成，提高了信噪比，从而提高了损伤位置的准确性。通过监测带有金属环的圆形粘结结构的损伤，验证了该方法的有效性。与基于传统单激励源多信号分类算法、路径成像和延迟求和成像的损伤定位方法相比，该方法能够实现更好的损伤定位，具有更高的定位精度。
