Monitoring of impact damages in composite laminates using wavelet transform

Sung, Dae-Un; Kim, Chun-Gon; Hong, Chang Sun

doi:10.1016/s1359-8368(01)00051-8

Cited by 60 publications

(28 citation statements)

References 6 publications

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“…In order to identify the damage, several test methods have been widely used. Sung et al [15] have found that the acoustic emission waves, generated by a low-velocity impact loading, do not allow them to distinguish the damage modes and their size. Corum et al [16] determined the damaged area of impacted specimen by ultrasonic C-scans.…”

Section: Introductionmentioning

confidence: 99%

The effect of stacking sequence on the impact-induced damage in cross-ply E-glass/epoxy composite plates

Mili

Necib

2008

Arch Appl Mech

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The aim of this study is to determine the damage mechanisms of unidirectional E-glass/epoxy laminated composites under localized impacts. The projectile velocities at low ranges (0.54-3.10 m/s) have been considered to establish a parametric analysis of clamped laminated composite responses. The used circular plates are symmetrical laminates which are composed of ten plies and have three different cross-ply stacking sequences: [0 2 /90 6 /0 2 ], [0 3 /90 4 /0 3 ] and [0 4 /90 2 /0 4 ]. They are subjected at their centers to an impact of an aluminum projectile which is applied in the transverse direction by using a drop weight machine. The time histories of the impactor acceleration, the projectile displacement and the plate deflection were measured. The analysis of the nature of the damage mechanisms and its relation to the structural responses has been performed. The identification of the matrix cracks and the delamination at the interfaces has allowed to determine the initiation and extension criteria of the damage.

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Section: Introductionmentioning

confidence: 99%

The effect of stacking sequence on the impact-induced damage in cross-ply E-glass/epoxy composite plates

Mili

Necib

2008

Arch Appl Mech

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“…But, for the case of structural fracture, stress wave emission induced by matrix cracks or fiber breakages can be observed by examining the 20 kHz ~ 200 kHz frequency range [9]. Fig.…”

Section: -Results and Discussionmentioning

confidence: 99%

“…Because this transform uses the sinusoidal basis functions that are localized in frequency only, it lose the transient feature of signal data. Therefore it is necessary to adopt the timefrequency analysis for diagnostics of transient signals such as damage-induced signals [9]. Moreover the time-frequency analysis can be used for damage monitoring of smart structures.…”

Section: -Short Time Fourier Transform (Stft)mentioning

confidence: 99%

Opitcal fiber sensor systems for simultaneous monitoring of strain and damage in smart composites

et al. 2003

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To perform the real-time health monitoring of the smart composite structures, two fiber optic sensor systems are proposed, that can measure the strain and detect the moment of fracture simultaneously. The two types of the coherent sources were used for fracture signal detection -EDFA with FBG and EDFA with Fabry-Perot filter. These sources were coupled to extrinsic Fabry-Perot interferometer sensors imbedded in composite specimens to monitor the fracture behavior of composites. To understand the characteristics of matrix cracking signals, at first, we performed tensile tests using surface attached PZT sensors. This paper describes the implementation of time-frequency analysis such as short time Fourier-transform for the quantitative evaluation of the fracture signals like matrix cracking. From the test of tensile load monitoring using optical fiber sensor systems, the measured strain agreed with the value of electric strain gage and the fracture detection system could find out the moment of damage with high sensitivity to recognize the onset of micro-crack fracture signals.

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“…In application, piezoelectric sensors have been widely used [2], [3]. More recently, fiber Bragg grating (FBG) [4], [5] is shown as promising sensors in area localization for its advantages of anti-electromagnetic interference, easy to establish sensing network and install without destroying the structures.…”

Section: Introductionmentioning

confidence: 99%

Low Velocity Impact Localization on CFRP Based on FBG Sensors and ELM Algorithm

Jiang

Sui

et al. 2015

IEEE Sensors J.

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Carbon fiber reinforced plastics (CFRPs) structures are very susceptible to invisible damage induced by the low velocity impact. The impact area localization can be useful information for detecting this damage. In this paper, the low velocity impact area localization system using fiber Bragg grating (FBG) sensors and area localization algorithm based on extreme learning machine (ELM) were investigated. The FBG sensors were used to detect the impact signal. Fourier transform, ReliefF algorithm, and principal component analysis technology were used to extract the impact signal characteristic. The ELM technology was used to realize the impact area localization. Finally, the impact area localization system was established and verified on a CFRP plate with 240-mm × 240-mm experiment area. The experimental results showed that the proposed system made accurate identification 35 times for 36 times experiments. The area localization accuracy was 96.9%. In addition, the precision of the area localization system was 40-mm × 40-mm area. This paper provided a reliable method for CFRP low velocity impact area localization.Index Terms-Fiber Bragg grating, low velocity impact area localization, signal characteristic, carbon fiber reinforced plastics, extreme learning machine.

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Monitoring of impact damages in composite laminates using wavelet transform

Cited by 60 publications

References 6 publications

The effect of stacking sequence on the impact-induced damage in cross-ply E-glass/epoxy composite plates

The effect of stacking sequence on the impact-induced damage in cross-ply E-glass/epoxy composite plates

Opitcal fiber sensor systems for simultaneous monitoring of strain and damage in smart composites

Low Velocity Impact Localization on CFRP Based on FBG Sensors and ELM Algorithm

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