2020
DOI: 10.1002/pc.25837
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Determining the fiber/matrix interfacial shear strength under cryogenic conditions by statistical inversion

Abstract: The fiber/matrix interfacial shear strength (IFSS) in fiber‐reinforced plastics (FRP) under cryogenic condition is critical to the strength of FRP vessels while used in liquid fuel tanks. However, a direct in situ characterization of IFSS in FRPs under cryogenic condition is difficult to be achieved by combining mechanical testing facility and cryogenic oven at microscale. In this article, a new approach is proposed to identify the cryogenic IFSS of FRPs by statistical inversion by using the results of tensile… Show more

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Cited by 8 publications
(2 citation statements)
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“…Carbon-fiber-reinforced polymer (CFRP) composites are widely used in various fields, especially in aerospace equipment, such as plate skins, and pressure vessels in aerospace equipment [ 1 , 2 , 3 , 4 ]. The reliable application of composites depends on the accurate evaluation and prediction of their mechanical properties [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Carbon-fiber-reinforced polymer (CFRP) composites are widely used in various fields, especially in aerospace equipment, such as plate skins, and pressure vessels in aerospace equipment [ 1 , 2 , 3 , 4 ]. The reliable application of composites depends on the accurate evaluation and prediction of their mechanical properties [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…The reliable application of composites depends on the accurate evaluation and prediction of their mechanical properties [ 5 , 6 ]. Numerous studies have used uniaxial tests to identify the properties of composites, contributing to a wider application of CFRP [ 4 , 7 , 8 , 9 , 10 , 11 , 12 ]. However, the uniaxial mechanical tests are limited in characterizing the real mechanical responses of composites under the complex loading state in engineering applications, for example, the filament wound pressure vessels (FWPV) [ 13 , 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%