| People | Locations | Statistics |
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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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document
Delamination detection and growth assessment in composite laminated beams through data-driven vibration structural health monitoring
Abstract
This study presents an integrated and reliable Structural Health Monitoring<br/>(SHM) methodology for composite laminated structures that enables<br/>delamination assessment. Most of these structures are subjected to vibrations<br/>and therefore, vibration-based SHM (VSHM) methods present an attractive<br/>possibility. The vibration response is used as an input in the data-driven VSHM<br/>methodology to estimate, based on the output of statistical models, the<br/>development of delamination's behaviour. This study presents a technique based<br/>on Singular Spectrum Analysis (SSA) for a data-driven VSHM methodology.<br/>The methodology decomposes the vibration responses in a certain number of<br/>principal components where the data is better distinguishable. The methodology<br/>has been implemented on the vibration responses measured by embedded<br/>piezoceramic sensors in an experiment with four composite laminated beams.<br/>The size of the delamination has been modified to study its growth. The results<br/>demonstrate a substantial potential of this approach for delamination detection<br/>and growth assessment.