Chapter
Feb 21, 2020
Geo-Congress 2020

Discrete Element Modelling of Large Scale Stacked-Ring Simple Shear Test of Steel Spheres

Publication: Geo-Congress 2020: Modeling, Geomaterials, and Site Characterization (GSP 317)

ABSTRACT

Traditionally, geotechnical engineers have used continuum numerical methods coupled with complex constitutive models to analyze soil response. This approach, however, does not explicitly consider the particle-scale interactions underlying the macro-scale behavior. Given the advances in computational power, particle-based discrete element methods have been progressively catching the attention of geotechnical engineers in simulating and analyzing soil behavior. For validation of discrete element modeling of various laboratory tests, many researchers have been using idealized granular materials such as steel spheres that are much simpler to model compared to real soils. In case of experimental validation of models for simple shear test using stacked-ring device type, it is particularly important to ensure that the simple shear condition is completely imposed on specimens consisting of low friction and freely rotating steel spheres. In this study, discrete element modeling is used to examine the level of simple shear imposition on specimen of uniform-sized steel spheres in large scale stacked-ring simple shear device under constant volume conditions.

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Published In

Go to Geo-Congress 2020
Geo-Congress 2020: Modeling, Geomaterials, and Site Characterization (GSP 317)
Pages: 491 - 500
Editors: James P. Hambleton, Ph.D., Northwestern University, Roman Makhnenko, Ph.D., University of Illinois at Urbana-Champaign, and Aaron S. Budge, Ph.D., Minnesota State University, Mankato
ISBN (Online): 978-0-7844-8280-3

History

Published online: Feb 21, 2020

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Nina Zabihi [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor. E-mail: [email protected]
Adda Athanasopoulos-Zekkos, Ph.D. [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor. E-mail: [email protected]

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