On Transducers Localization in Damage Detection by Wave Propagation Method

In this paper, the elastic wave propagation method was used in damage detection in thin structures. The effectiveness and accuracy of the system based on the wave propagation phenomenon depend on the number and localization of the sensors. The utilization of the piezoelectric (PZT) transducers makes possible to build a low-cost damage detection system that can be used in structural health monitoring (SHM) of the metallic and composite structures. The different number and localization of transducers were considered in the numerical and experimental analysis of the wave propagation phenomenon. The relation of the sensors configuration and the damage detection capability was demonstrated. The main assumptions and requirements of SHM systems of different levels were discussed with reference to the damage detection expectations. The importance of the damage detection system constituents (sensors number, localization, or damage index) in different levels of analysis was verified and discussed to emphasize that in many practical applications introducing complicated procedures and sophisticated data processing techniques does not lead to improving the damage detection efficiency. Finally, the necessity of the appropriate formulation of SHM system requirements and expectations was underlined to improve the effectiveness of the detection methods in particular levels of analysis and thus to improve the safety of the monitored structures.

[1]  Charles R. Farrar,et al.  The fundamental axioms of structural health monitoring , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  Yang Yu,et al.  Condition Assessment of Foundation Piles and Utility Poles Based on Guided Wave Propagation Using a Network of Tactile Transducers and Support Vector Machines , 2017, Sensors.

[3]  Massimo Ruzzene,et al.  Computational Techniques for Structural Health Monitoring , 2011 .

[4]  Wieslaw Ostachowicz,et al.  New trends in structural health monitoring , 2013 .

[5]  Shantanu Datta,et al.  A review on different pipeline fault detection methods , 2016 .

[6]  Krzysztof Schabowicz,et al.  State-of-the-art non-destructive methods for diagnostic testing of building structures - anticipated development trends , 2010 .

[7]  Hoon Sohn,et al.  Damage Detection in Composite Plates by Using an Enhanced Time Reversal Method , 2007 .

[8]  Seth Stovack Kessler,et al.  Piezoelectric-based in-situ damage detection of composite materials for structural health monitoring systems , 2002 .

[9]  Yang Yu,et al.  Novel Hybrid Method Based on Advanced Signal Processing and Soft Computing Techniques for Condition Assessment of Timber Utility Poles , 2019, Journal of Aerospace Engineering.

[10]  A. Muc,et al.  Analytical discrete stacking sequence optimization of rectangular composite plates subjected to buckling and FPF constraints , 2016 .

[11]  Mamoru Shimazaki,et al.  Delamination detection in composite laminates using dispersion change based on mode conversion of Lamb waves , 2010 .

[12]  Hyunjo Jeong,et al.  Defect detection and localization in plates using a lamb wave time reversal technique , 2011 .

[13]  Paweł Romanowicz,et al.  Fatigue damage growth monitoring for composite structures with holes , 2018 .

[14]  Douglas E. Adams,et al.  Health monitoring of structural materials and components : methods with applications , 2007 .

[15]  E. Peter Carden,et al.  Vibration Based Condition Monitoring: A Review , 2004 .

[16]  A. Stawiarski,et al.  Location of delaminations in curved laminated panels , 2015 .

[17]  Adam Stawiarski,et al.  The crack detection and evaluation by elastic wave propagation in open hole structures for aerospace application , 2018, Aerospace Science and Technology.

[18]  Shigeki Yashiro,et al.  Non-Contact Ultrasonic Inspection of Impact Damage in Composite Laminates by Visualization of Lamb wave Propagation , 2018, Applied Sciences.

[19]  M. Z. Shah Khan,et al.  Non-destructive detection of fatigue damage in thick composites by pulse-echo ultrasonics , 2000 .

[20]  Yang Yu,et al.  Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory , 2018, Structural Health Monitoring.

[21]  Ting-Hua Yi,et al.  Optimal sensor placement for structural health monitoring based on multiple optimization strategies , 2011 .

[22]  Joseph L. Rose,et al.  Ultrasonic Sensor Placement Optimization in Structural Health Monitoring Using Evolutionary Strategy , 2006 .

[23]  Philip J. Withers,et al.  Damage development in open-hole composite specimens in fatigue. Part 1: Experimental investigation , 2013 .

[24]  Aleksander Muc,et al.  Remarks on experimental and theoretical investigations of buckling loads for laminated plated and shell structures , 2018, Composite Structures.

[25]  Keith Worden,et al.  New trends in vibration based structural health monitoring , 2011 .

[26]  Pawel Malinowski,et al.  Optimization of sensor placement for structural health monitoring: a review , 2019, Structural Health Monitoring.

[27]  Marc Parizeau,et al.  Efficient Sensor Placement Optimization Using Gradient Descent and Probabilistic Coverage , 2014, Sensors.

[28]  Bin Liu,et al.  A Fatigue Crack Size Evaluation Method Based on Lamb Wave Simulation and Limited Experimental Data , 2017, Sensors.

[29]  Maciej Radzieński,et al.  Structural health monitoring by means of elastic wave propagation , 2012 .

[30]  Ben Wang,et al.  Detection of Defects in Reinforced Concrete Structures Using Ultrasonic Nondestructive Evaluation with Piezoceramic Transducers and the Time Reversal Method , 2018, Sensors.

[31]  Kui Yao,et al.  Damage Detection in a Composite T-Joint Using Guided Lamb Waves , 2017, Aerospace.

[32]  A. Stawiarski,et al.  Wave propagation in composite multilayered structures with delaminations , 2012, Mechanics of Composite Materials.

[33]  Jianchun Li,et al.  Condition assessment of timber utility poles based on a hierarchical data fusion model , 2016 .

[34]  Aleksander Muc,et al.  Damage Detection, Localization and Assessment in Multilayered Composite Structure with Delaminations , 2013 .

[35]  Adam Stawiarski,et al.  Fatigue crack detection and identification by the elastic wave propagation method , 2017 .

[36]  Luiz F. Kawashita,et al.  Damage development in open-hole composite specimens in fatigue. Part 2: Numerical modelling , 2013 .

[37]  Lin Ye,et al.  Guided Lamb waves for identification of damage in composite structures: A review , 2006 .

[38]  Srinivasan Gopalakrishnan,et al.  Rapid localization of damage using a circular sensor array and Lamb wave based triangulation , 2010 .