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压电传感技术在结构健康监测中的应用:研究现状综述。

Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review.

机构信息

Institute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, Zhejiang, China.

Engineering Research Center of Oceanic Sensing Technology and Equipment, Zhejiang University, Zhoushan 316021, Zhejiang, China.

出版信息

Sensors (Basel). 2020 Jul 3;20(13):3730. doi: 10.3390/s20133730.

DOI:10.3390/s20133730
PMID:32635286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7374461/
Abstract

Recently, there has been a growing interest in deploying smart materials as sensing components of structural health monitoring systems. In this arena, piezoelectric materials offer great promise for researchers to rapidly expand their many potential applications. The main goal of this study is to review the state-of-the-art piezoelectric-based sensing techniques that are currently used in the structural health monitoring area. These techniques range from piezoelectric electromechanical impedance and ultrasonic Lamb wave methods to a class of cutting-edge self-powered sensing systems. We present the principle of the piezoelectric effect and the underlying mechanisms used by the piezoelectric sensing methods to detect the structural response. Furthermore, the pros and cons of the current methodologies are discussed. In the end, we envision a role of the piezoelectric-based techniques in developing the next-generation self-monitoring and self-powering health monitoring systems.

摘要

最近,人们对将智能材料用作结构健康监测系统的传感元件越来越感兴趣。在这个领域,压电材料为研究人员快速扩展其众多潜在应用提供了巨大的前景。本研究的主要目的是回顾目前在结构健康监测领域中使用的基于压电的传感技术的最新进展。这些技术包括压电机电阻抗和超声兰姆波方法,以及一类前沿的自供电传感系统。我们介绍了压电效应的原理和压电传感方法用于检测结构响应的基本机制。此外,还讨论了当前方法的优缺点。最后,我们设想了基于压电的技术在开发下一代自监测和自供电健康监测系统中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/5891447914f4/sensors-20-03730-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/c8e279617763/sensors-20-03730-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/2fc351fbaa89/sensors-20-03730-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/708bc56bf4c3/sensors-20-03730-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/2e02f6f87977/sensors-20-03730-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/4d0f5d7eaaff/sensors-20-03730-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/4cd9acf6df9c/sensors-20-03730-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/5891447914f4/sensors-20-03730-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/c8e279617763/sensors-20-03730-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/2fc351fbaa89/sensors-20-03730-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/708bc56bf4c3/sensors-20-03730-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/2e02f6f87977/sensors-20-03730-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/4d0f5d7eaaff/sensors-20-03730-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/4cd9acf6df9c/sensors-20-03730-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/065e/7374461/5891447914f4/sensors-20-03730-g007.jpg

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