Quantifying void fabric using a scan-line approach

Ghedia, Reshma; O’Sullivan, Catherine

doi:10.1016/j.compgeo.2011.10.008

Cited by 30 publications

(13 citation statements)

References 23 publications

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“…Prior quantitative analysis of void fabric using a scanning line method was discussed by Oda et al (1985) (using experimental data) and Ghedia & O'Sullivan (2012) (using DEM data). Both sets of authors compared the ratio of the maximum and minimum eigenvalues for the contact normals and the voids (termed F 1 /F 2 and V 1 /V 2 respectively in both cases).…”

Section: Resultsmentioning

confidence: 99%

“…Fonseca (2011) applied watershed segmentation and principal component analysis to identify void orientations in 3D micro-computed tomography images of sand samples. In two dimensions, Ghedia & O'Sullivan (2012) also used watershed segmentation to extend the scan-line method proposed by Oda et al (1985). Descriptions of techniques to measure anisotropy, including void anisotropy, from twodimensional (2D) scanning electron microscope (SEM) images of clay samples can be found in Smart (1991) and Tovey et al (1992), among other references.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying stress-induced anisotropy using inter-void constrictions

Shire¹,

O’Sullivan²,

Barreto³

et al. 2013

Géotechnique

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In particulate geomechanics it is common to quantify fabric anisotropy using contact and particle orientations. Measurement of void anisotropy is less common, most likely owing to the difficulties associated with defining individual voids. Here a Delaunay tessellation-based approach is applied to measure anisotropy of the inter-void constriction orientations. This new measure of fabric anisotropy was capable of identifying stress-induced anisotropy in discrete-element modelling true triaxial simulations with spherical particles. A relationship is established between the constriction orientations, the macro-scale principal stress directions and the micro-scale contact normal orientations.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying stress-induced anisotropy using inter-void constrictions

Shire¹,

O’Sullivan²,

Barreto³

et al. 2013

Géotechnique

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show abstract

“…The void orientations and void anisotropies can be easily quantified (e.g. using methods proposed by Ghedia and O'Sullivan [34] or Oda et al [35]); this is useful in understanding fabric anisotropy of granular materials.…”

Section: Advantages Over Existing Methodsmentioning

confidence: 99%

A new method to identify void constrictions in micro-CT images of sand

Taylor

O’Sullivan

Sim

2015

Computers and Geotechnics

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“…As discussed by Ghedia and O'Sullivan [9], application of this algorithm requires conversion of the DEM data set to an image file comprising pixels. In addition, the individual voids must be distinguished and Ghedia and O'Sullivan applied a watershed segmentation approach (Beucher and Lantuejoul [10]).…”

Section: Existing Void Characterization Algorithmsmentioning

confidence: 99%