2018
DOI: 10.3390/s18051398
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Dispersed Sensing Networks in Nano-Engineered Polymer Composites: From Static Strain Measurement to Ultrasonic Wave Acquisition

Abstract: Self-sensing capability of composite materials has been the core of intensive research over the years and particularly boosted up by the recent quantum leap in nanotechnology. The capacity of most existing self-sensing approaches is restricted to static strains or low-frequency structural vibration. In this study, a new breed of functionalized epoxy-based composites is developed and fabricated, with a graphene nanoparticle-enriched, dispersed sensing network, whereby to self-perceive broadband elastic disturba… Show more

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Cited by 14 publications
(15 citation statements)
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“…However, 180 kHz and S 0 wave mode were selected for diagnostic wave signals, based on the previous frequency sweep test. 29 Figure 14(a) shows the amplitudes of captured wave signals at multiple frequencies, in which the peak value appears at around 180 kHz for the S 0 mode, similar to the trend of the signals captured by a PZT sensor. Such a phenomenon – the frequency-dependent signal amplitude – is mainly caused by wave mode tuning of PZT actuators.…”
Section: Active Damage Identification Using Guwsmentioning
confidence: 54%
See 3 more Smart Citations
“…However, 180 kHz and S 0 wave mode were selected for diagnostic wave signals, based on the previous frequency sweep test. 29 Figure 14(a) shows the amplitudes of captured wave signals at multiple frequencies, in which the peak value appears at around 180 kHz for the S 0 mode, similar to the trend of the signals captured by a PZT sensor. Such a phenomenon – the frequency-dependent signal amplitude – is mainly caused by wave mode tuning of PZT actuators.…”
Section: Active Damage Identification Using Guwsmentioning
confidence: 54%
“…For as-produced laminates in this study, the elastic tensile modulus and ultimate tensile strength have been improved by 35% and 8%, respectively. 29 In conclusion, these appealing features have blazed a new trail in developing dispersive sensing systems for SHM. The sensors can flexibly adapt to a curved surface, introduce ignorable weight/volume penalty to host materials, and be networked in a dense modality to provide rich information of the structural health status.…”
Section: Discussionmentioning
confidence: 99%
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“…Targeting characterization of damage, ToAs of the damage scattered wave and the directly incipient wave recorded via the same sensing path PZT 1 - Sen 1 are used to calculate the ToF, as seen in Figure 9c. A probability-based diagnostic imaging (PDI) algorithm [5,6,40], in conjunction with the ToFs obtained from all sensing paths, is then recalled, whereby the damage is characterized in a grayscale image in terms of the probability of presence.…”
Section: Applications To Damage Characterizationmentioning
confidence: 99%