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. Furthermore , this semi-concurrent multiscale method extracts two key material parameters… (More)
SUMMARY The underlying physics of granular matter can be clearly solved using particulate mechanics methods, e.g. the discrete element method (DEM) that is inherently discontinuous and heterogeneous. To solve static problems, explicit schemes using dynamic relaxation procedures have been widely employed, in which naturally dynamic material parameters are… (More)
We present a semi-implicit return mapping algorithm for integrating generic nonsmooth elastoplastic models. The semi-implicit nature of the algorithm stems from ''freezing " the plastic internal variables at their previous state, followed by implicitly integrating the stresses and plastic multiplier. The plastic internal variables are incrementally updated… (More)
A A d d v v a a n n c c e e s s i i n n M M e e a a s s u u r r e e m m e e n n t t a a n n d G Ge eo ot te ec ch hn ni ic ca al l S Sp pe ec ci ia al l P Pu ub bl li ic ca at ti io on n N Some format issues inherent in the e-media version may also appear in this print version.