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Multiscale framework for behavior prediction in granular media Jos E. Andrade *, Xuxin Tu
 

Summary: Multiscale framework for behavior prediction in granular media
Josť E. Andrade *, Xuxin Tu
Theoretical & Applied Mechanics, Northwestern University, Evanston, IL 60208, USA
a r t i c l e i n f o
Article history:
Received 19 November 2008
Available online xxxx
a b s t r a c t
In this work, a predictive multiscale framework for modeling the behavior of granular
materials is presented. The method is particularly attractive due to its simplicity and ability
to exploit the existing finite element and computational inelasticity technologies. Further-
more, this semi-concurrent multiscale method extracts two key material parameters from
the granular structure: dilatancy and frictional resistance. The evolution of these material
parameters is upscaled into classical two- and three-invariant plasticity models, effectively
bypassing phenomenological hardening laws. The predictiveness of the method is clearly
demonstrated by comparing its performance with experimental results and direct numer-
ical simulations under homogeneous and inhomogeneous conditions. The high-quality pre-
dictions obtained using the multiscale method highlight its potential to unravel complex
material behavior where hitherto phenomenological models have failed.
” 2009 Elsevier Ltd. All rights reserved.

  

Source: Andrade, Jose - Department of Civil and Environmental Engineering, Northwestern University

 

Collections: Engineering