Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors – Part I: Impact detection and localization

Frieden, Jeannot; Botsis, J.; Gmür, Thomas

doi:10.1016/j.compstruct.2011.08.003

Cited by 112 publications

(52 citation statements)

References 20 publications

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“…Such information can then be applied for damage detection and identification within the airframe. The final approach is to use the FBG strain as a function of time for dynamic analysis of the structural behavior including modal analysis to detect delaminations and impact localization [16][17][18][19][20]. It is this third use of the FBG strain information that we will target in this work.…”

Section: Introductionmentioning

confidence: 99%

Instrumentation of integrally stiffened composite panel with fiber Bragg grating sensors for vibration measurements

Oman

Hoe

Aly

et al. 2015

Smart Mater. Struct.

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We evaluate the performance of fiber Bragg grating (FBG) sensors for the measurement of dynamic strains in complex composite structures. The particular structure used in this study is an integrally stiffened composite panel for which the stiffeners and skin are fabricated in a single layup and cure process. Surface-mounted FBG sensors are bonded to the panels after curing, whereas embedded FBG sensors are successfully incorporated during the fabrication process. A finite element model was also constructed of the stiffened panel. The panels were subjected to repeated impacts and the post-impact vibration response of the panel was measured through the FBG sensor responses. Little change to the global response of the panel was observed after the repeated impacts, through the dynamic response of the surface-mounted FBGs. Pulsed phase thermography and micro-computer-tomography imaging of the panel confirmed that the damage was localized near the impact locations, producing negligible changes to the global response of the panel. All of the embedded FBG sensors survived the fabrication and multiple impacts; however, as these were embedded close to the neutral axis of the panel, they were not very sensitive to the vibration modes. Excitation of the panel near the first natural frequency did produce a measurable response in the FBG sensors, confirming their functionality.

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Section: Introductionmentioning

confidence: 99%

Instrumentation of integrally stiffened composite panel with fiber Bragg grating sensors for vibration measurements

Oman

Hoe

Aly

et al. 2015

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…In some of these papers analysis of the dynamic or static changes in the Bragg wavelength is being studied, which supposably contains information about the location of the damage and its type. Frieden et al proposed a method for localisation and detection of damage based on the dynamic changes in the Bragg wavelength of FBG sensors in response to the propagated lamb waves in composites 5 . Loutas et al used the dynamic strain measurements based on transient shifts in the Bragg wavelength of FBGs and pattern recognition tools in order to identify the state of the damage 6 .…”

Section: Introductionmentioning

confidence: 99%

Classification of composite damage from FBG load monitoring signals

et al. 2017

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This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the type of damage prior to determining the treatment method of the area or perhaps replacing the part. This was achieved by embedding FBG sensors inside a glass-fibre composite, and analysing the output signal from the sensors. The glass-fibre coupons were subjected to mode-I loading under tension-compression and static tests, in order to induce matrix cracks and delamination damages respectively. Afterwards, using wavelet features extracted from spectral measurements of the FBG sensors, classification of the damage type was carried out by means of support vector machines as a general classification tool with a quadratic kernel.

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“…Fu et al [8] used the hyperbolic curves algorithm and four fiber optic sensors to achieve impact localization on the composite plate. Frieden et al [9] obtained the location of impact through interpolation of a reference data set, consisting of arrival time delays and known location. The methods need the arrival time of impact signals.…”

Section: Introductionmentioning

confidence: 99%

Low velocity impact localization system using FBG array and MVDR beamforming algorithm

et al. 2015

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This paper proposes an impact localization system based on the fiber Bragg grating (FBG) array and minimum variance distortionless response (MVDR) beamforming algorithm. The linear FBG array, which contains seven FBG sensors, is used for detecting impact signals. Morlet wavelet transform is applied for extracting narrow-band signals of impact signals. According to the MVDR beamforming algorithm, the system realizes single-impact and multi-impact localizations. The localization system is verified on a 500 mm×500 mm×2 mm carbon fiber reinforced polymer (CFRP) plate for single-impact and multi-impact localizations. The average locating error and the maximum locating error are 6.8 mm and 9.9 mm, respectively.

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Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors – Part I: Impact detection and localization

Cited by 112 publications

References 20 publications

Instrumentation of integrally stiffened composite panel with fiber Bragg grating sensors for vibration measurements

Instrumentation of integrally stiffened composite panel with fiber Bragg grating sensors for vibration measurements

Classification of composite damage from FBG load monitoring signals

Low velocity impact localization system using FBG array and MVDR beamforming algorithm

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