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contributor authorYanrong Fu
contributor authorLinbing Wang
contributor authorMehmet T. Tumay
contributor authorQingbin Li
date accessioned2017-05-08T22:41:19Z
date available2017-05-08T22:41:19Z
date copyrightFebruary 2008
date issued2008
identifier other%28asce%290733-9399%282008%29134%3A2%28143%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/86525
description abstractMicrofeatures 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.
publisherAmerican Society of Civil Engineers
titleQuantification and Simulation of Particle Kinematics and Local Strains in Granular Materials Using X-Ray Tomography Imaging and Discrete-Element Method
typeJournal Paper
journal volume134
journal issue2
journal titleJournal of Engineering Mechanics
identifier doi10.1061/(ASCE)0733-9399(2008)134:2(143)
treeJournal of Engineering Mechanics:;2008:;Volume ( 134 ):;issue: 002
contenttypeFulltext


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