Volumetric Digital Image Correlation Applied to X‐ray Microtomography Images from Triaxial Compression Tests on Argillaceous Rock
By N. Lenoir, M. Bornert, J. Desrues, P. Bésuelle, Gioacchino Viggiani. 2007
402 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geophysics, Radiation
View Paper: https://www.semanticscholar.org/paper/bd8c0b44b789bf6a7817ed7f7bf70456653d7f51
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Geophysics
In Radiation
Citations in the corpus
- Multiscale modeling and characterization of granular matter: From grain kinematics to continuum mechanics (2011, methodology): “A cylindrical sample of Hostun sand with 11 mm in diameter and 22 mm in height was sheared in a specially designed triaxial apparatus (Lenoir, 2006; Lenoir et al., 2007).”
- High-Speed Photography and Digital Optical Measurement Techniques for Geomaterials: Fundamentals and Applications (2017, methodology): “This latter technique has been widely applied in mechanical research such as wood bending (Forsberg et al. 2008), human bone (Zauel et al. 2006) and Argillaceous rock (Lenoir et al. 2007).”
- Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, background): “lar bone [66], wood [67], rock [68], and cellular foam [69])”
- In Situ Experiments with X ray Tomography: an Attractive Tool for Experimental Mechanics (2010, methodology): “Synchrotron tomography images of argillaceous rock under tri axial compression were analysed [70] using a Volumetric Digital Image Correlation software (PT) which allowed to detect the onset of shear strain localisation and to characterise its development in a 3D complex pattern.”
- Multiscale Full‐Field Strain Measurements for Micromechanical Investigations of the Hydromechanical Behaviour of Clayey Rocks (2010, methodology): “Such situations are easy to detect and can conveniently be removed manually from the region of interest through of the graphical user interface of the CMV software.”