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contributor authorZaher A. Jarrar
contributor authorKhalid A. Alshibli
contributor authorRiyadh I. Al-Raoush
date accessioned2022-01-30T21:49:06Z
date available2022-01-30T21:49:06Z
date issued7/1/2020 12:00:00 AM
identifier other%28ASCE%29GT.1943-5606.0002281.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268894
description abstractRecent research showed that fracture of sand particles plays a significant role in determining the plastic bulk volumetric changes of granular materials under different loading conditions. One of the major tools used to better understand the influence of particle fracture on the behavior of granular materials is discrete-element modeling (DEM). This paper employed the bonded block model (BBM) to simulate the fracture behavior of sand. Each sand particle is modeled as an agglomerate of rigid blocks bonded at their contacts using the linear-parallel contact model, which can transmit both moment and force. DEM simulated particles closely matched the actual three-dimensional (3D) shape of sand particles acquired using high-resolution 3D synchrotron microcomputed tomography (SMT). Results from unconfined one-dimensional (1D) compression of a single synthetic silica cube were used to calibrate the model parameters. Particle fracture was investigated for specimens composed of three sand particles that were loaded under confined 1D compression. Breakage energy measured from DEM models matched well with that measured experimentally. The paper studied the effects of contact loading condition and particle interaction on the fracture mode of particles using BBM that can closely capture the 3D shape of real sand particles.
publisherASCE
titleThree-Dimensional Evaluation of Sand Particle Fracture Using Discrete-Element Method and Synchrotron Microcomputed Tomography Images
typeJournal Paper
journal volume146
journal issue7
journal titleJournal of Geotechnical and Geoenvironmental Engineering
identifier doi10.1061/(ASCE)GT.1943-5606.0002281
page10
treeJournal of Geotechnical and Geoenvironmental Engineering:;2020:;Volume ( 146 ):;issue: 007
contenttypeFulltext


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