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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Trendafilova, Irina
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2019Triboelectric sensor as a dual system for impact monitoring and prediction of the damage in composite structurescitations
- 2019Detection and measurement of impacts in composite structures using a self-powered triboelectric sensorcitations
- 2018The effect of polycaprolactone nanofibers on the dynamic and impact behavior of glass fibre reinforcedcitations
- 2018Self-powered pressure sensor based on the triboelectric effect and its analysis using dynamic mechanical analysiscitations
- 2017Vibratory behaviour of glass fibre reinforced polymer (GFRP) interleaved with nylon nanofiberscitations
- 2017Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring
- 2017Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring
- 2016A study on the vibration-based self-monitoring capabilities of nano-enriched composite laminated beamscitations
- 2015Vibration-based delamination diagnosis and modelling for composite laminate platescitations
- 2015Damage assessment based on general signal correlationcitations
- 2015Damage assessment for wind turbine blades based on a multivariate statistical approachcitations
- 2014Delamination assessment in structures made of composites based on general signal correlationcitations
- 2014A multivariate data analysis approach towards vibration analysis and vibration-based damage assessmentcitations
- 2014An investigation in vibration modeling and vibration-based monitoring for composite laminates
- 2014Singular spectrum analysis for identifying structural nonlinearity using free-decay responses
- 2013Multivariate statistical analysis for damage and delamination in composite structures
- 2012A simple frequency-based delamination detection and localization method without baseline modelcitations
- 2012Delamination assessment in structures made of composites based on signal cross-correlation
- 2009Smart materials for intelligent structural health monitoring
Places of action
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article
Triboelectric sensor as a dual system for impact monitoring and prediction of the damage in composite structures
Abstract
Bird strikes, hailstone impacts, and other type of mechanical collisions are quite frequent for a number of crucial and important structures, including aircrafts, wind turbines, bridges and other composites structures. These impacts harm the integrity of the composite laminates used in their structures which results in delamination and other failures which reduces their overall lifetime. Hence, the prediction of the damage induced by these impacts is of vital importance to assess the integrity of the composite structures. This paper suggests a triboelectric sensor based on polyvinyl fluoride nanofibers which is used to measure the velocity of the impacts and predict the structural integrity of the composites. For the purpose an experiment is designed where composite plates are subjected to controlled velocity impacts using a drop-weight impact machine. During the experiment, the fabricated triboelectric sensor is adhered to the composite specimens with the aim to investigate the effect of the<br/>velocity of the impacts on the sensor electric responses. Our results show that the sensor electric response increases with the increase of the impact velocity. Additionally, the produced voltage and current outputs show a linear directly proportional relationship to the measured impact velocity, which facilitates greatly the estimation of the impact velocity from the measured electric response. Furthermore, the paper also proves that the sensor electrical responses can be also used to estimate the size of the delamination caused by the impacts. The findings of this research demonstrate the potential of triboelectric sensors for impact velocity monitoring and propose a new approach to predict the damage caused by impacts in composite structures. These results are of a great interest for the industry as the delamination caused by impacts is very difficult to detect by visual inspections.