Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring

Zhao, Xiaoliang; Gao, Huidong; Zhang, Guangfan; Ayhan, Bulent; Yan, Fei; Kwan, Chiman; Rose, Joseph L.

doi:10.1088/0964-1726/16/4/032

Cited by 642 publications

(482 citation statements)

References 22 publications

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“…An aircraft fuselage panel was tested successfully, using two strips of PZTs, by Ihn and Chang [20]. A beam forming approach was implemented on a wing panel with satisfying results [21]. Ultimately, all these different approaches will have to be subjected to real flight tests.…”

Section: Lamb Waves -Backgroundmentioning

confidence: 99%

Structural Health Monitoring System Using Piezoelectric Networks with Tuned Lamb Waves

Rocha

Silva

Suleman

2010

Shock and Vibration

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Abstract. The paper presents a structural health monitoring system based on propagation of tuned Lamb waves and their interference with discontinuities. The dispersion curves are studied to determine the appropriate type and dimension of transducers and to select the optimum scanning frequencies and relevant propagation modes. A piezoelectric sensor network was implemented in an aluminum plate in order to generate and to sense the wave propagation and associated reflections. The algorithm developed for damage detection relies on the comparison of undamaged and damaged responses of the structure. Combinations of filters and statistical methods were applied to detect differences in the sensor signals acquired for the two different states (damaged and undamaged), corresponding to damage reflections. In order to eliminate the false positives due to noise, a probability analysis is performed to obtain the final damage position. The software designed for the current application allows the automatic calculation of dispersion curves, it executes the scans, performs data processing, executes the detection algorithm and presents the probable damages and their positions in a graphical form. Experiments were performed with the introduction of cumulative damages in the plate such as surface and through-the-thickness holes and cuts, ranging from 7 mm to 1 mm in diameter. Additionally, a stringer was attached to the plate by a single rivet line to simulate an aircraft skin structure. Cuts originating from rivet holes and connecting adjacent rivets, as well as loosened rivets were detected by the system. The introduction of the stringer resulted in a loss of precision in the determination of the radial position of the damages near it. Also, the network revealed significant difficulties in the detection of damages beyond the stringer.

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Section: Lamb Waves -Backgroundmentioning

confidence: 99%

Structural Health Monitoring System Using Piezoelectric Networks with Tuned Lamb Waves

Rocha

Silva

Suleman

2010

Shock and Vibration

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“…A tomography-based algorithm called RAPID has been developed, which accounts for wave scattering and reflections from damage using a probabilistic damage detection concept by superposition of rays of ellipses. 58 An SDC to quantify the changes in the signal was proposed based on a correlation analysis…”

Section: Tomography Approachmentioning

confidence: 99%

Damage Detection and Characterization with Piezoelectric Transducers: Active Sensing

Khodaei¹,

Aliabadi²

2017

Computational and Experimental Methods in Structures

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This chapter presents an overview of prominent structural health monitoring (SHM) techniques for damage detection and localization utilizing ultrasonic guided waves (UGWs). The basic principles of SHM described include the application of permanently fixed sensors on the structure combined with the necessity of minimum manual intervention to monitor the structural integrity. The techniques used in SHM, especially tomography and delay-and-sum (DAS) approach, are described in detail. Particular attention is paid to the development of advanced technical capabilities for making the integration of sensors in modern composite structures practical and efficient so as to facilitate industrialization and certification. Therefore, key aspects that have been included are optimization of sensor positioning and influence of changes in environmental conditions on damage detection algorithms. The theoretical descriptions are combined with several benchmark examples involving finite element analysis and experimental measurements. Finally, application to a curved fuselage composite panel with frames and stringers is presented to demonstrate how a multilevel approach could be used to efficiently detect damage in complex structures.

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“…The use of this technique on its own is quite limited since only the path between transmitter and receiver is inspected. Thus, a network of transducers covering the structure has been performed by many researchers (Zhao et al 2007;Lissenden and Rose 2008;Ng and Veidt 2009) in order to interrogate in a pitch-catch configuration the entire structure. With this technique, the system is able to map the inspected area by analysing all the paths between transducers.…”

Section: Damage Detectionmentioning

confidence: 99%

Damage Sensing in Blades

Crespo

2016

Mare-Wint

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This chapter is divided into three parts; the problem, possible solutions and the chosen option to address the problem, which is my PhD topic within the project MAREWINT. So firstly, the chapter presents an overview of the typical damages that a wind turbine blade can suffer during its life operation. Then, a review of different Structural Health Monitoring (SHM) techniques which are currently being investigated for wind turbine blades is presented. Finally, the chapter provides the state-of-the-art of Guided Wave Technology in composite materials; where different aspects of this SHM technique are explained in more detail. IntroductionWind energy is an important renewable energy source which has gained high relevance during the last decades. Different countries have released plans to invest in wind energy in the future years; such as the USA that will generate 20 % of the country's electricity from wind power by 2030 or Denmark that have set the targets of producing 50 % of the power from the wind by 2020 and also of making Denmark completely free of dependence on fossil fuels by 2050. So, the use of wind power is not expected to decrease within the next decade (Márquez et al. 2012). The trend is to manufacture bigger wind turbines and deploy them offshore. These new wind turbines have around 6 MW power output, 120-metre height tower and 80-metre long blades. They are designed to be operating in rough conditions in difficult-to-reach areas. Therefore, the deployment of Structural Health Monitoring (SHM) techniques becomes essential in order to assess remotely the integrity of the structure. The advantages of using these techniques are many (Schulz and Sundaresan 2006), such as reducing expensive costs for periodic inspections of turbines which are hard to reach, prevention of unnecessary replacement of components based on time of use, or minimizing down time and frequency of sudden breakdowns.

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Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring

Cited by 642 publications

References 22 publications

Structural Health Monitoring System Using Piezoelectric Networks with Tuned Lamb Waves

Structural Health Monitoring System Using Piezoelectric Networks with Tuned Lamb Waves

Damage Detection and Characterization with Piezoelectric Transducers: Active Sensing

Damage Sensing in Blades

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