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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
Singular spectrum analysis for identifying structural nonlinearity using free-decay responses
Abstract
This investigation considers a methodology for analysis of the vibratory response of composite laminate structures which is based on Singular Spectrum Analysis. Composite laminate structures generally demonstrate nonlinear dynamic behaviour as a result of their intrinsic material nonlinear nature. Since the nonlinearities on a number of occasions induce relativity small changes in the vibratory response which are difficult to identify, the raw measured dynamic responses have to be subjected to certain pre-treatment before it can be used for purposes of nonlinearity and damage analysis. To approach this problem this work investigates the effect of some key signal and transformation parameters, such as signal length and sampling frequency as well as the SSA window length on the performance of the methodology itself. The selection of these parameters has a direct influence on the damage sensitivity and the accuracy of the methodology. The variation of these parameters can produce radical changes on the clustering effect of the methodology and it is demonstrated that this might affect the results interpretation.<br/>