Characterization of impact damage in composite laminates using guided wavefield imaging and local wavenumber domain analysis

Rogge, Matthew D.; Leckey, Cara A. C.

doi:10.1016/j.ultras.2012.12.015

Cited by 186 publications

(162 citation statements)

References 25 publications

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“…The paths affected by damages are highlighted facilitating the visual localization of the damage. Another interesting technique is to apply a data processing algorithm to a wave field image acquired by a laser vibrometer system (Michaels et al 2011;Sohn et al 2011;Rogge and Leckey 2013). In (Michaels et al 2011), the authors use a signal processing technique in order to remove specific wave modes from the images in order to reveal low amplitude reflections from damages masked by high amplitude wave modes.…”

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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Section: Damage Detectionmentioning

confidence: 99%

Damage Sensing in Blades

Crespo

2016

Mare-Wint

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“…Early efforts considered "snapshot" visualization [22] as well as accumulated energy plots [23]. Other approaches include standing wave analysis [6], wavenumber filtering [24], instantaneous wavenumber techniques [25][26][27], anomaly detection via dictionary learning [28], and a combined beamforming and wavenumber analysis technique [29], although this list is certainly not inclusive.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic wavefield imaging: Research tool or emerging NDE method?

Michaels¹

2017

AIP Conference Proceedings

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Multi-site delamination detection and quantification in composites through guided wave based global-local sensing AIP Conference Proceedings 1806, 020007 (2017) Abstract. Ultrasonic wavefield imaging refers to acquiring full waveform data over a region of interest for waves generated by a stationary source. Although various implementations of wavefield imaging have existed for many years, the widespread availability of laser Doppler vibrometers that can acquire signals in the high kHz and low MHz range has resulted in a rapid expansion of fundamental research utilizing full wavefield data. In addition, inspection methods based upon wavefield imaging have been proposed for standalone nondestructive evaluation (NDE) with most of these methods coming from the structural health monitoring (SHM) community and based upon guided waves. If transducers are already embedded in or mounted on the structure as part of an SHM system, then a wavefield-based inspection can potentially take place with very little required disassembly. A frequently-proposed paradigm for wavefield NDE is its application as a follow-up inspection method using embedded SHM transducers as guided wave sources if the in situ SHM system generates an alarm. Discussed here is the broad role of wavefield imaging as it relates to ultrasonic NDE, both as a research tool and as an emerging NDE method. Examples of current research are presented based upon both guided and bulk wavefield imaging in metals and composites, drawing primarily from the author's work. Progress towards wavefield NDE is discussed in the context of defect detection and characterization capabilities, scan times, data quality, and required data analysis. Recent research efforts are summarized that can potentially enable wavefield NDE.

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“…In recent years, full time-space wavefields of guided waves, measured by non-contact laser Doppler vibrometers, have been extensively studied for use in damage detection [6][7][8][9][10][11][12]. The various methods developed to process full wavefield data for damage detection include: amplitude based imaging, wave filtering based imaging, and wavenumber based imaging, among others [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Wavenumber based imaging uses intrinsic wavenumber information obtained from the full wavefields for quantitative evaluation of the defects in metals and laminated composites [18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…The various methods developed to process full wavefield data for damage detection include: amplitude based imaging, wave filtering based imaging, and wavenumber based imaging, among others [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Wavenumber based imaging uses intrinsic wavenumber information obtained from the full wavefields for quantitative evaluation of the defects in metals and laminated composites [18][19][20][21][22][23][24]. It has been shown that wavenumber information can be used not only to detect the damage location, but also to quantify the damage size, shape and depth [18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…Wavenumber based imaging uses intrinsic wavenumber information obtained from the full wavefields for quantitative evaluation of the defects in metals and laminated composites [18][19][20][21][22][23][24]. It has been shown that wavenumber information can be used not only to detect the damage location, but also to quantify the damage size, shape and depth [18][19][20][21][22][23][24]. Rogge and Leckey demonstrated that wavenumber information can be used to determine the approximate depth and size of near-surface delamination damage [18].…”

Section: Introductionmentioning

confidence: 99%

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Multi-site delamination detection and quantification in composites through guided wave based global-local sensing

Tian¹,

Leckey²,

Yu³

2017

AIP Conference Proceedings

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Abstract. This paper presents a guided wave based global-local sensing method for rapid detection and quantification of multi-site delamination damage in large composite panels. The global-local approach uses a hybrid system consisting of a piezoelectric transducer (PZT) for generating guided waves and a non-contact scanning laser Doppler vibrometer (SLDV) for acquiring guided wave data. The global-local method is performed in two steps. First, a phased array configured of a small number of SLDV scan points (for example 10×10 points in a rectangular grid array) performs inspection over the entire plate to detect and locate damage. Local areas are identified as potential damage regions for the second step. Then high density wavefield measurements are taken over the identified areas and wavefield analysis is performed to quantitatively evaluate the damage. For the proof of concept in case with multi-site damage, the global-local approach is demonstrated on a carbon fiber reinforced polymer (CFRP) composite plate with two sites of impact-induced delamination damage. In the first step, the locations of two delamination sites are detected by the phased array method. In the second step, the delamination size and shape are evaluated using wavefield analysis. The detected delamination location, size and shape agree well with those of ultrasonic C-scan and the method led to a 93% reduction in inspection time compared to a full SLDV dense grid scan.

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Characterization of impact damage in composite laminates using guided wavefield imaging and local wavenumber domain analysis

Cited by 186 publications

References 25 publications

Damage Sensing in Blades

Damage Sensing in Blades

Ultrasonic wavefield imaging: Research tool or emerging NDE method?

Multi-site delamination detection and quantification in composites through guided wave based global-local sensing

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