Vibration Parameters for Impact Detection of Composite Panel: A Neural Network Based Approach

The need for reliable methodologies for structural monitoring is certainly a current line of research in many engineering sectors. The detection of the impact on composite materials is in fact a recent subject of study, aimed at safeguarding the mechanical integrity and improving the useful life of...

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Veröffentlicht in:Journal of composites science Jg. 5; H. 7; S. 185
Hauptverfasser: Arena, Maurizio, Viscardi, Massimo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.07.2021
Schlagworte:
Algorithms
Carbon fiber reinforced plastics
Composite materials
Composite structures
Dynamic response
Fiber reinforced polymers
Localization
Neural networks
Parameter identification
Vibration
United States > US
ISSN:2504-477X, 2504-477X
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Zusammenfassung:The need for reliable methodologies for structural monitoring is certainly a current line of research in many engineering sectors. The detection of the impact on composite materials is in fact a recent subject of study, aimed at safeguarding the mechanical integrity and improving the useful life of structural components. In such a context, the work deals with evaluation of the use of neural algorithms for localizing the position of the impacts on composite structures. Starting from FE (finite element) simulations, representative of the dynamic response of a CFRP (Carbon Fiber Reinforced Polymer) panel as a benchmark, the approach has been finally validated experimentally by modal parameters identification.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2504-477X
2504-477X
DOI:10.3390/jcs5070185