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Strain energy release rate of sandwich composite beams for different densities and geometry parameters

Strain energy release rate of sandwich composite beams for different densities and geometry parameters

Balaban, Ayse Cagla and Tee, Kong Fah ORCID: 0000-0003-3202-873X (2019) Strain energy release rate of sandwich composite beams for different densities and geometry parameters. Theoretical and Applied Fracture Mechanics, 101. pp. 191-199. ISSN 0167-8442 (doi:https://doi.org/10.1016/j.tafmec.2019.03.001)

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Abstract

In this paper, fracture behaviour of marine sandwich structured composite beams manufactured by vacuum-assisted resin infusion process with a PVC foam core, and different thicknesses of upper and lower glass fibre-reinforced polymer face sheets have been investigated. Fracture toughness in terms of strain energy release rate of sandwich composite beam is obtained using three end notched flexure test (3 ENF) by analytical method, finite element simulation using J integral and virtual crack closure technique (VCCT). Experimental testing has been applied with more accurate loading values for finite element modelling (FEM) simulations. The good agreement between experimental and numerical results shows that the finite element model is acceptable. A parametric study is carried out to observe the effects of core thickness, density of core, length of specimens, loading directions of the specimens on strain energy release rate (SERR) of sandwich composite beams under mode II loading. It is developed for the different core thicknesses with varying density combinations. The variations of maximum SERR value are presented graphically using numerical method and compared with analytical solution.

Item Type: Article
Uncontrolled Keywords: Strain Energy Release Rate; Fracture Toughness; J Integral; Sandwich Composites
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 23 Mar 2019 00:52
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/23178

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