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Erschienen in: Journal of Materials Science 19/2020

28.03.2020 | Polymers & biopolymers

Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis

verfasst von: Mingjie Guan, Yuansong Liu, Zhiwei Zhang, Zhiwei Huang

Erschienen in: Journal of Materials Science | Ausgabe 19/2020

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Abstract

The failure of composite materials during bending is an issue that must be considered in the performance evaluation of structural materials. Strong–weak interlaminated composites are particularly prone to weak interfaces. In this study, the digital image correlation (DIC) method is used to detect the strain distribution of high-performance carbon fiber-reinforced eucalyptus/poplar composite plywood under three-point bending. Finite element analysis (FEA) method is used to numerically simulate the composite plywood of each reinforced structure, and failure evaluation in the bent state of plywood is carried out. Testing is then undertaken to determine that the FEA simulated value and the DIC measured value fit well. Besides, bending test verifies the failure mode predicted by FEA, which will be a very good prediction method for material failure.

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Metadaten
Titel
Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis
verfasst von
Mingjie Guan
Yuansong Liu
Zhiwei Zhang
Zhiwei Huang
Publikationsdatum
28.03.2020
Verlag
Springer US
Erschienen in
Journal of Materials Science / Ausgabe 19/2020
Print ISSN: 0022-2461
Elektronische ISSN: 1573-4803
DOI
https://doi.org/10.1007/s10853-020-04584-9

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