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基于压电器件激励主动传感的木材损伤检测的可行性研究。

A Feasibility Study on Timber Damage Detection Using Piezoceramic-Transducer-Enabled Active Sensing.

机构信息

School of Urban Construction, Yangtze University, Jingzhou 434023, China.

School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.

出版信息

Sensors (Basel). 2018 May 15;18(5):1563. doi: 10.3390/s18051563.

DOI:10.3390/s18051563
PMID:29762483
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5982473/
Abstract

In recent years, piezoelectric-based transducers and technologies have made significant progress towards structural health monitoring and damage evaluation for various metal and concrete structures. Timber is still commonly used as a construction material in practical engineering; however, there is a lack of research on the health monitoring of timber-based structures using piezoelectric-based transducers and methods. This paper conducts a feasibility study on timber damage detection using surface-mounted piezoelectric patches, which enable the stress-wave-based active sensing approach. Typical damage modes in timber frame structures, such as surface cracks and holes, were investigated in this study. In the active sensing approach, one piezoceramic transducer is used as an actuator to generate stress waves, which propagate along the surface of the timber structure, and other piezoceramic transducers function as sensors to detect the propagating stress waves. Defects, such as a crack or a hole, induce additional attenuation to the propagating stress wave. Based on this attenuation, the proposed method can detect the defects using the wavelet-packet-based damage index, demonstrating its implementation potential for real-time timber damage detection.

摘要

近年来,基于压电的换能器和技术在各种金属和混凝土结构的结构健康监测和损伤评估方面取得了重大进展。木材在实际工程中仍然是一种常用的建筑材料;然而,基于压电的换能器和方法在木材结构健康监测方面的研究还很缺乏。本文对使用表面贴装压电片的木材损伤检测进行了可行性研究,这种压电片可以实现基于应力波的主动传感方法。本研究调查了木结构中典型的损伤模式,如表面裂缝和孔。在主动传感方法中,一个压电陶瓷换能器用作致动器以产生沿木材结构表面传播的应力波,而其他压电陶瓷换能器用作传感器以检测传播的应力波。缺陷,如裂缝或孔,会对传播的应力波产生额外的衰减。基于这种衰减,该方法可以使用基于小波包的损伤指数来检测缺陷,证明了其在实时木材损伤检测中的实施潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/a3a73d2b2568/sensors-18-01563-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/08dc0b6e627d/sensors-18-01563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/140f8eb852e9/sensors-18-01563-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/ccd7bc63953e/sensors-18-01563-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/79551257247c/sensors-18-01563-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/614cb9a1a588/sensors-18-01563-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/6c0804c7aa21/sensors-18-01563-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/e76ddb7a3503/sensors-18-01563-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/759928ae7911/sensors-18-01563-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/a3a73d2b2568/sensors-18-01563-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/08dc0b6e627d/sensors-18-01563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/140f8eb852e9/sensors-18-01563-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/ccd7bc63953e/sensors-18-01563-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/79551257247c/sensors-18-01563-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/614cb9a1a588/sensors-18-01563-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/6c0804c7aa21/sensors-18-01563-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/e76ddb7a3503/sensors-18-01563-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/759928ae7911/sensors-18-01563-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6295/5982473/a3a73d2b2568/sensors-18-01563-g009.jpg

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