Estimation of the Effective Range of PZT Sensors for Damage Detection Based on Full Wavefield Measurements

被引:0
|
作者
Dziendzikowski, Michal [1 ,2 ]
Kowalczyk, Kamil [1 ]
Niedbala, Patryk [1 ]
Dragan, Krzysztof [1 ]
Dworakowski, Ziemowit [3 ]
机构
[1] Instytut Techniczny Wojsk Lotniczych, ul. Ksiecia Boleslawa 6, Warszawa,01-494, Poland
[2] Warsaw University of Technology, Faculty of Materials Science and Engineering, ul. Woloska 141, Warsaw,02-507, Poland
[3] AGH University of Science and Technology, Department of Robotics and Mechatronics, al. Reymonta 9, Krakow,30-059, Poland
来源
e-Journal of Nondestructive Testing | 2024年 / 29卷 / 07期
关键词
Elastic waves - Guided electromagnetic wave propagation - Structural health monitoring;
D O I
10.58286/29609
中图分类号
学科分类号
摘要
Optimal location of sensors for enhanced damage detection capability is one of the key factors which needs to be considered when designing SHM system based on PZT sensors. However the sensitivity of a sensor to damage is not only dependent on its relative location with respect to elastic waves source and damage, but can also depend on structure geometry as well as particular signal features which are used for structure assessment. In this paper, results of structure evaluation based on guided waves excited by PZT transducers and full wavefield measurements obtained by laser scanning vibrometer will be presented. The measurements were acquired for pristine state of test structure and with introduced damage, therefore it is possible to calculate spatial distribution of various signal characteristics and estimate effective range of PZT sensors for damage detection based on a given damage index. Various parameters affecting the damage detection range will be compared, in particular: type and the extent of damage, type of signal characteristic used, parameters of the excitation signal (e.g. frequency, duration), as well time interval used for damage index calculation. The obtained results may be useful for refining algorithms for sensor placement optimization as well as damage localization techniques, e.g. based on RAPID imaging algorithm. © 2024, NDT. net GmbH and Co. KG. All rights reserved.
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