Damage Detection of Textile Composite Structures Using the Piezoelectric Impedance Method

Structural health monitoring or damage detection has long been a research interest for its great potential for life safety and economic benefits to the industrialized world. Structural vibration behavior is an essential signature of the integrity of structures and hence has been used for damage detection. Structural vibration impedance by way of piezoceramic patch excitation offers a local damage detection technique. It has been known that temperature change has adverse effects on the measured impedance result and can complicate the damage analysis. It is believed that one way of temperature influence on vibration is through adding thermal prestress to the structure. Prestress affects vibration in different ways on different structures and application problems. For the impedance method, prestress comes not only from temperature change but also from other sources such as wind, gravity and working load. This paper deals with prestress effects in the context of local vibration behavior of structures. A theoretical analysis is given on how prestress affects the vibration. Experimental impedance measurement results for piezoceramic patch excited vibration of simple structures such as plates under prestress are presented.

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Feasibility of PZT ceramics for impact damage detection in composite structures

10.1063/1.4914716 ◽

2015 ◽

Cited By ~ 3

Author(s):

Gerges Dib ◽

Ermias Koricho ◽

Oleksii Karpenko ◽

Mahmood Haq ◽

Lalita Udpa ◽

...

Keyword(s):

Damage Detection ◽

Composite Structures ◽

Impact Damage ◽

Pzt Ceramics

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Numerical Simulation on Micro-damage Detection In CFRP Composites Based on Nonlinear Ultrasonic Guided Waves

Structural Health Monitoring ◽

10.21741/9781644901311-39 ◽

2021 ◽

Keyword(s):

Damage Detection ◽

Composite Structures ◽

Guided Waves ◽

Second Harmonic ◽

Wave Mode ◽

Guided Wave ◽

Reinforced Plastics ◽

Matrix Cracks ◽

Nonlinear Ultrasonic ◽

Contact Acoustic Nonlinearity

Abstract. Micro-damages such as pores, closed delamination/debonding and fiber/matrix cracks in carbon fiber reinforced plastics (CFRP) are vital factors towards the performance of composite structures, which could collapse if defects are not detected in advance. Nonlinear ultrasonic technologies, especially ones involving guided waves, have drawn increasing attention for their better sensitivity to early damages than linear acoustic ones. The combination of nonlinear acoustics and guided waves technique can promisingly provide considerable accuracy and efficiency for damage assessment and materials characterization. Herein, numerical simulations in terms of finite element method are conducted to investigate the feasibility of micro-damage detection in multi-layered CFRP plates using the second harmonic generation (SHG) of asymmetric Lamb guided wave mode. Contact acoustic nonlinearity (CAN) is introduced into the constitutive model of micro-damages in composites, which leads to the distinct SHG compared with material nonlinearity. The results suggest that the generated second order harmonics due to CAN could be received and adopted for early damage evaluation without matching the phase of the primary waves.

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Robust Autonomous Damage Detection and Assessment in Polymeric Composite Structures

Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2 ◽

10.1115/smasis2008-403 ◽

2008 ◽

Cited By ~ 1

Author(s):

Ajay Kesavan ◽

Sabu John ◽

Henry Li ◽

Israel Herszberg

Keyword(s):

Damage Detection ◽

Composite Structures ◽

Research Study ◽

Polymeric Composite ◽

Variable Loading ◽

Damage Scenarios ◽

Damage Location ◽

Joint Structure ◽

Analytical Work ◽

Load Angle

This paper introduces the some of the experimental and analytical work behind the autonomous damage detection technique. The research study conducted here resulted in the development of a Structural Health Monitoring (SHM) system for a 2-D polymeric composite T-joint, used in maritime structures. Two methods of damage detection are discussed — A statistics-based outlier technique and one using Artificial Neural Networks (ANNs). The SHM using ANNs system was found to be capable of not only detecting the presence of multiple delaminations in a composite structure, but also capable of determining the location and extent of all the delaminations present in the T-joint structure, regardless of the load (angle and magnitude) acting on the structure. The system developed relies on the examination of the strain distribution of the structure under operational loading. Finally, on testing the SHM system developed with strain signatures of composite T-joint structures, subjected to variable loading, embedded with all possible damage configurations (including multiple damage scenarios), an overall damage (location & extent) prediction accuracy of 94.1% was achieved. These results are presented and discussed in detail in this paper.

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A transmittance-based methodology for damage detection under uncertainty: An application to a set of composite beams with manufacturing variability subject to impact damage and varying operating conditions

Structural Health Monitoring ◽

10.1177/1475921718779190 ◽

2018 ◽

Vol 18 (1) ◽

pp. 318-333 ◽

Cited By ~ 5

Author(s):

Aggelos G Poulimenos ◽

John S Sakellariou

Keyword(s):

Damage Detection ◽

Production Line ◽

Composite Structures ◽

Impact Damage ◽

Parametric Representation ◽

Composite Beams ◽

Operating Conditions ◽

Ratio Test ◽

Detection Characteristic ◽

Testing Procedures

Oftentimes, the complexity in manufacturing composite materials leads to corresponding structures which although they may have the same design specifications they are not identical. Thus, composite parts manufactured in the same production line present differences in their dynamics which combined with additional uncertainties due to different operating conditions may lead to the complete concealment of effects caused by small, incipient, damages making their detection highly challenging. This damage detection problem in nominally identical composite structures is pursued in this study through a novel data-based response-only methodology that is founded on the autoregressive with exogenous (ARX) excitation parametric representation of the transmittance function between vibration measurements at two different locations on the structure. This is a statistical time series methodology within which two schemes are formulated. In the first, a single-reference transmittance model representing the healthy structure is employed, while multiple transmittance models from a sample of available healthy structures are used in the second. The model residual signal constitutes for both schemes the damage detection characteristic quantity that is used in appropriate hypothesis testing procedures with the likelihood ratio test. The methodology is experimentally assessed via damage detection for a population of composite beams which are manufactured in the same production line representing the half of the tail of a twin-boom unmanned aerial vehicle. The damage detection results demonstrate the superiority of the multiple transmittance models based scheme that may effectively detect damages under significant manufacturing variability and varying boundary conditions.

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On Transducers Localization in Damage Detection by Wave Propagation Method

Sensors ◽

10.3390/s19081937 ◽

2019 ◽

Vol 19 (8) ◽

pp. 1937 ◽

Cited By ~ 3

Author(s):

Adam Stawiarski ◽

Aleksander Muc

Keyword(s):

Wave Propagation ◽

Damage Detection ◽

Composite Structures ◽

Detection Efficiency ◽

Detection System ◽

Damage Index ◽

Detection Methods ◽

Levels Of Analysis ◽

Wave Propagation Method ◽

Different Levels

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.

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