2017
DOI: 10.1007/s10035-017-0760-3
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3D fibre architecture of fibre-reinforced sand

Abstract: The mechanical behaviour of fibre-reinforced sands is primarily governed by the three-dimensional fibre architecture within the sand matrix. In laboratory, the normal procedures for sample preparation of fibre-sand mixtures generally produce a distribution of fibre orientations with a preferential bedding orientation, generating strength anisotropy of the composite's response under loading. While demonstrating the potential application of X-ray tomography to the analysis of fibre-reinforced soils, this paper p… Show more

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Cited by 32 publications
(25 citation statements)
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“…For cross-anisotropic fibre orientation, we can further employ a simplified fiber distribution function ( ) (Michalowski & Čermák, 2002;Diambra et al, 2007;Soriano et al, 2017) to characterize the fibre concentration, where is the vertical angle of fibre inclination to the preferred fibre orientation plane (e.g., − plane in Fig. 1).…”
Section: Fibre Orientation Tensormentioning
confidence: 99%
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“…For cross-anisotropic fibre orientation, we can further employ a simplified fiber distribution function ( ) (Michalowski & Čermák, 2002;Diambra et al, 2007;Soriano et al, 2017) to characterize the fibre concentration, where is the vertical angle of fibre inclination to the preferred fibre orientation plane (e.g., − plane in Fig. 1).…”
Section: Fibre Orientation Tensormentioning
confidence: 99%
“…where 0 , and are fitting parameters which can be determined based on the measured fibre orientation in FRS. It is shown by Diambra et al (2007) and Soriano et al (2017) that ( ) expressed in Eq. 11can give satisfactory description of crossanisotropic fibre orientation in an FRS sample.…”
Section: Fibre Orientation Tensormentioning
confidence: 99%
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“…Indeed, it is found by Ibraim et al [18] that the internal structure of FRS, particularly the distribution of fibers, has profound effect on the soil dilatancy (e a À e v relationship). Therefore, better model predictions could be achieved by accounting for the effect of fiber distribution in FRS [23,28,34]. In general, the model prediction gives reasonable prediction of the soil response, but it can be further improved in the following aspects.…”
Section: Polypropylene-reinforced Osorio Sandmentioning
confidence: 99%