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Cedric Rosalie

Bio: Cedric Rosalie is an academic researcher from Defence Science and Technology Organization. The author has contributed to research in topics: Lamb waves & Structural health monitoring. The author has an hindex of 5, co-authored 12 publications receiving 70 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, Lamb waves have been used to monitor lap joints against defects such as disbonds in aircraft and bridges, but there is no evidence that they can reliably detect disbond defects.
Abstract: Lap joints are widely used across many critical structures such as aircraft and bridges. Lamb waves have long been proposed to monitor lap joints against defects such as disbonds. However, there ar...

25 citations

Journal ArticleDOI
TL;DR: The paper details the development of a novel piezoelectric excitation amplifier, which, in conjunction with flexible acquisition-system architecture, seamlessly provides electromechanical impedance spectroscopy for PWAS diagnostics over the full instrument bandwidth of 50 KHz–5 MHz.
Abstract: A key longstanding objective of the Structural Health Monitoring (SHM) research community is to enable the embedment of SHM systems in high value assets like aircraft to provide on-demand damage detection and evaluation. As against traditional non-destructive inspection hardware, embedded SHM systems must be compact, lightweight, low-power and sufficiently robust to survive exposure to severe in-flight operating conditions. Typical Commercial-Off-The-Shelf (COTS) systems can be bulky, costly and are often inflexible in their configuration and/or scalability, which militates against in-service deployment. Advances in electronics have resulted in ever smaller, cheaper and more reliable components that facilitate the development of compact and robust embedded SHM systems, including for Acousto-Ultrasonics (AU), a guided plate-wave inspection modality that has attracted strong interest due mainly to its capacity to furnish wide-area diagnostic coverage with a relatively low sensor density. This article provides a detailed description of the development, testing and demonstration of a new AU interrogation system called the Acousto Ultrasonic Structural health monitoring Array Module+ (AUSAM+). This system provides independent actuation and sensing on four Piezoelectric Wafer Active Sensor (PWAS) elements with further sensing on four Positive Intrinsic Negative (PIN) photodiodes for intensity-based interrogation of Fiber Bragg Gratings (FBG). The paper details the development of a novel piezoelectric excitation amplifier, which, in conjunction with flexible acquisition-system architecture, seamlessly provides electromechanical impedance spectroscopy for PWAS diagnostics over the full instrument bandwidth of 50 KHz–5 MHz. The AUSAM+ functionality is accessed via a simple hardware object providing a myriad of custom software interfaces that can be adapted to suit the specific requirements of each individual application.

21 citations

Journal ArticleDOI
TL;DR: In this paper, the differences between directly and remotely-bonded optical fiber Bragg grating (FBG) sensors when measuring Lamb waves in an aluminum plate were investigated.
Abstract: This paper reports on an experimental investigation into the differences between directly and remotely bonded optical fiber Bragg grating (FBG) sensors when measuring Lamb waves in an aluminum plate. A sensor array, comprising 16 individual short gauge-length FBG sensing elements, is used to decompose the wave into its constituent modes for the directly bonded case, where the array is attached directly to the plate and for the remotely bonded case where the same array is located in a suspended fiber 250 mm downstream from the fiber/plate contact region. The experimental results were consistent with model predictions and show that while the directly bonded fiber array can resolve the full multimodal Lamb wave spectrum in the plate, the remotely bonded sensor measures only a single nondispersive longitudinal acoustic mode predicted by the analytical solution for a cylindrical waveguide. The inability of remote sensing to distinguish between different modes of Lamb wave propagation represents a significant limitation with respect to the diagnostic utility of this sensing approach.

11 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of fiber bragg gratings and self-adhesive tape on the propagation of Lamb wave signals was investigated in the high frequency regime, and the results showed that both of these surface-mount materials attenuate, diffract and scatter the incoming waves as well as introducing a phase lag.
Abstract: The application of Lamb waves to damage and/or defect detection in structures is typicallyconfined to lower frequencies in regimes where only the lower order modes propagate in order to simplifyinterpretation of the scattered wave-fields. Operation at higher frequencies offers the potentialto extend the sensitivity and diagnostic capability of this technique, however there are technical challengesassociated with the measurement and interpretation of this data. Recent work by the authorshas demonstrated the ability of fibre Bragg gratings (FBGs) to measure wave-fields at frequencies inexcess of 2 MHz [1]. However, when this work was extended to other thinner plate specimens it wasfound that at these higher frequencies, the cyanoacrylate adhesive (M-Bond 200) used to attach theFBG sensors to the plate was significantly affecting the propagation of the waves. Laser vibrometrywas used to characterise the wave-field in the region surrounding the adhesive and it was found that theself-adhesive retro-reflective tape applied to aid with this measurement was also affecting the wavefieldin the higher frequency regime. This paper reports on an experimental study into the influence ofboth of these materials on the propagating wave-field. Three different lengths of retro-reflective tapewere placed in the path of Lamb waves propagating in an aluminium plate and laser vibrometry wasused to measure the wave-field upstream and downstream of the tape for a range of different excitationfrequencies. The same experiment was conducted using small footprint cyanoacrylate film samplesof different thickness. The results show that both of these surface-mount materials attenuate, diffractand scatter the incoming waves as well as introducing a phase lag. The degree of influence of thesurface layer appears to be a function of its material properties, the frequency of the incoming waveand the thickness and footprint of the surface layer relative to the base material thickness. Althoughfurther work is required to characterise the relative influence of each of these variables, investigationsto date show that for the measurement of Lamb Waves on thin structures, careful considerationshould be given to the thickness and footprint of the adhesive layer and sensor, particularly in the highfrequency regime, so as to minimise their effect on the measurement.

10 citations

Journal ArticleDOI
TL;DR: DST Group is developing an airframe sensor testbed upon which various airframe diagnostic systems (such as those used for structural health monitoring including optical fibre and acousto-ultrasonic based approaches) can be tested and have their usefulness verified.

6 citations


Cited by
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Journal ArticleDOI
29 Jan 2020-Sensors
TL;DR: This work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications, which covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures.
Abstract: The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

66 citations

Journal ArticleDOI
TL;DR: In this work, a HUMS was developed and implemented in an UAV based on 20 Fiber Bragg Gratings embedded into the composite front spar of the aircraft’s wing, a miniaturized data acquisition subsystem for gathering strain signals and a wireless transmission subsystem for remote sensing.

60 citations

Journal ArticleDOI
01 Jun 2018-Sensors
TL;DR: Simulation results show that perturbation effect of cracks on eddy currents excited by the HS-FECA sensor gradually grows stronger when the crack propagates, resulting in much higher sensitivity to cracks.
Abstract: This paper develops a high-sensitivity flexible eddy current array (HS-FECA) sensor for crack monitoring of welded structures under varying environment. Firstly, effects of stress, temperature and crack on output signals of the traditional flexible eddy current array (FECA) sensor were investigated by experiments that show both stress and temperature have great influences on the crack monitoring performance of the sensor. A 3-D finite element model was established using Comsol AC/DC module to analyze the perturbation effects of crack on eddy currents and output signals of the sensor, which showed perturbation effect of cracks on eddy currents is reduced by the current loop when crack propagates. Then, the HS-FECA sensor was proposed to boost the sensitivity to cracks. Simulation results show that perturbation effect of cracks on eddy currents excited by the HS-FECA sensor gradually grows stronger when the crack propagates, resulting in much higher sensitivity to cracks. Experimental result further shows that the sensitivity of the new sensor is at least 19 times that of the original one. In addition, both stress and temperature variations have little effect on signals of the new sensor.

34 citations

Journal ArticleDOI
Kaihong Zheng1, Zheng Li1, Zhaoyang Ma1, Jianlin Chen1, Jie Zhou1, Xianyue Su1 
TL;DR: In this article, a new damage detection method for stiffened composite panels based on Lamb waves is presented, which combines a quantitative wavefront expression for an anisotropic composite and the conventional time-of-flight (ToF) method to detect debonding damage between stiffeners and the composite skin as well as lowvelocity impact damage in the skin sheet.

33 citations