Tensile failure of fiber composites.

Zweben, Carl

doi:10.2514/3.4990

Cited by 293 publications

(71 citation statements)

References 3 publications

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“…Many theories exist to predict the tensile strength of UD composites [11][12][13][14][15][16][17][18][19][20][21][22][23], and most of these contain three key features. The first is the assumption of a Weibull distribution of fibre strength, which is determined by the random distribution of flaws in the fibre [23].…”

Section: Introductionmentioning

confidence: 99%

Synchrotron radiation computed tomography for experimental validation of a tensile strength model for unidirectional fibre-reinforced composites

Swolfs

Morton

Scott

et al. 2015

Composites Part A: Applied Science and Manufacturing

103

151

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Section: Introductionmentioning

confidence: 99%

Synchrotron radiation computed tomography for experimental validation of a tensile strength model for unidirectional fibre-reinforced composites

Swolfs

Morton

Scott

et al. 2015

Composites Part A: Applied Science and Manufacturing

103

151

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“…Elaborate analyses were conducted to evaluate the effects of damage on stiffness characteristics. The stochastic nature of gradual damage accumulation in composites was explicitly taken into account in statistical models of damage accumulation in composites developed, for example, by Rosen (1964), Zweben (1968), Tamuzh (1979, Harlow andPhoenix (1979), Batdorf (1982), Ovchinskii (1988), Phoenix (1993), Curtin (1993aCurtin ( , 1993b, Dzenis et al (1993Dzenis et al ( , 1994, and Dzenis and Joshi (1997). The models predicted gradual damage accumulation of different types under various loads.…”

Section: Damage In Compositesmentioning

confidence: 99%

Analysis of microdamage evolution histories in composites

Dzenis

Qian

2001

International Journal of Solids and Structures

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Evolution of microdamage in advanced composites was experimentally studied in this paper. A new method of acoustic emission (AE) analysis of histories of different damage mechanisms was formulated based on a combination of transient AE classification and multiparameter filtering. The capabilities of the method were illustrated on examples of damage evolution in several graphite/epoxy composites. Three characteristic AE waveforms with different frequency spectra were identified based on the transient analysis. Regions occupied by these waveforms in the amplitude-rise time parametric space were identified for the [0] 8 and [90] 16 unidirectional composites. Multiparameter filtering was applied to extract evolution histories for the characteristic waveforms. The results were compared with actual damage in the specimens and the three characteristic AE waveforms were associated with matrix cracks, fiber breaks, and "macrodamage," such as delaminations or longitudinal splitting in unidirectional plies. The multiparameter filters based on the analysis of the unidirectional composites were used to extract the damage evolution histories for the cross-ply [0/90] 3S and angle-ply [±45] 4S composites. The results compared favorably with the observed damage in these materials. An inverse analysis of the quality of the multiparameter filtering for the laminated composites indicated that the filters developed for unidirectional composites can be applied to the analysis of laminated composites with reasonable reliability. The new method of acoustic emission analysis of damage micromechanisms is expected to be especially advantageous for fatigue damage evolution studies in composites and structures.

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“…With spreading of nanotechnology into various technologies, it comes also its application in concrete composites [10]. Nanomaterials provide unique multifunction properties due to their size.…”

Section: Introductionmentioning

confidence: 99%