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  4. Comparison of analytical approaches predicting the compressive strength of fibre reinforced polymers
 
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Comparison of analytical approaches predicting the compressive strength of fibre reinforced polymers

Citation Link: https://doi.org/10.15480/882.1949
Publikationstyp
Journal Article
Date Issued
2018-12-11
Sprache
English
Author(s)
Leopold, Christian  orcid-logo
Harder, Sergej  
Philipkowski, Timo  
Liebig, Wilfried  orcid-logo
Fiedler, Bodo  orcid-logo
Institut
Kunststoffe und Verbundwerkstoffe M-11  
TORE-DOI
10.15480/882.1949
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1952
Journal
Materials  
Volume
11
Issue
12
Start Page
2517
Citation
Materials 11 (12): 2517 (2018)
Publisher DOI
10.3390/ma11122517
Scopus ID
2-s2.0-85058212455
Publisher
Multidisciplinary Digital Publishing Institute
Common analytical models to predict the unidirectional compressive strength of fibre reinforced polymers are analysed in terms of their accuracy. Several tests were performed to determine parameters for the models and the compressive strength of carbon fibre reinforced polymer (CFRP) and glass fibre reinforced polymer (GFRP). The analytical models are validated for composites with glass and carbon fibres by using the same epoxy matrix system in order to examine whether different fibre types are taken into account. The variation in fibre diameter is smaller for CFRP. The experimental results show that CFRP has about 50% higher compressive strength than GFRP. The models exhibit significantly different results. In general, the analytical models are more precise for CFRP. Only one fibre kinking model’s prediction is in good agreement with the experimental results. This is in contrast to previous findings, where a combined modes model achieves the best prediction accuracy. However, in the original form, the combined modes model is not able to predict the compressive strength for GFRP and was adapted to address this issue. The fibre volume fraction is found to determine the dominating failure mechanisms under compression and thus has a high influence on the prediction accuracy of the various models.
Subjects
fibre reinforced polymer
compression
analytical models
prediction
shear properties
microbuckling
kinking
glass fibres
carbon fibres
DDC Class
540: Chemie
620: Ingenieurwissenschaften
Funding(s)
Open Access Publizieren 2018 - 2019 / TU Hamburg  
More Funding Information
Deutsche Forschungsgemeinschaft (DFG)
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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