Quantification and simulation of particle kinematics and local strains in granular materials using X-ray tomography imaging and discrete-element method / Yanrong Fu in Journal of engineering mechanics, Vol. 134 N°2 (Fevrier 2008)  

Public ISBD [article]  inJournal of engineering mechanics > Vol. 134 N°2 (Fevrier 2008) . - pp.143–154. Titre : Quantification and simulation of particle kinematics and local strains in granular materials using X-ray tomography imaging and discrete-element method Type de document : texte imprimé Auteurs : Yanrong Fu, Auteur ; Linbing Wang, Auteur ; Mehmet T. Tumay, Auteur Année de publication : 2008 Article en page(s) : pp.143–154. Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Granular materials Three-dimensional analysis Deformation Simulation Radiography Strain Compression Résumé : Microfeatures of granular materials have significant effects on their macrobehaviors. Unfortunately, three-dimensional (3D) quantitative measurements of microfeatures are rare in literature because of the limitations of conventional techniques in obtaining microquantities such as microdisplacements and local strains. This paper presents a new method for quantifying the particle kinematics and local strains for a soft confined compression test using X-ray computed tomography and compares the experimental measurements with the simulated results using the discrete-element method (DEM). The experimental method can identify and recognize 3D individual particles automatically, which is essential for quantifying particle kinematics and local strains. 3D DEM simulations of the soft confined compression test were performed by using spherical particles and irregular particles. The simulated global deformations and particle translations that were based on irregular particles showed better agreement with the experimental measurements than those that were based on spherical particles. The simulated movements of spherical particles were more erratic, and the material composed of spherical particles showed larger vertical contraction and radial dilation. ISSN : 0733-9399 En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9399%282008%29134%3A2%2814 [...] [article] Quantification and simulation of particle kinematics and local strains in granular materials using X-ray tomography imaging and discrete-element method [texte imprimé] / Yanrong Fu, Auteur ; Linbing Wang, Auteur ; Mehmet T. Tumay, Auteur . - 2008 . - pp.143–154. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 134 N°2 (Fevrier 2008) . - pp.143–154. Mots-clés : Granular materials Three-dimensional analysis Deformation Simulation Radiography Strain Compression Résumé : Microfeatures of granular materials have significant effects on their macrobehaviors. Unfortunately, three-dimensional (3D) quantitative measurements of microfeatures are rare in literature because of the limitations of conventional techniques in obtaining microquantities such as microdisplacements and local strains. This paper presents a new method for quantifying the particle kinematics and local strains for a soft confined compression test using X-ray computed tomography and compares the experimental measurements with the simulated results using the discrete-element method (DEM). The experimental method can identify and recognize 3D individual particles automatically, which is essential for quantifying particle kinematics and local strains. 3D DEM simulations of the soft confined compression test were performed by using spherical particles and irregular particles. The simulated global deformations and particle translations that were based on irregular particles showed better agreement with the experimental measurements than those that were based on spherical particles. The simulated movements of spherical particles were more erratic, and the material composed of spherical particles showed larger vertical contraction and radial dilation. ISSN : 0733-9399 En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%290733-9399%282008%29134%3A2%2814 [...]

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