Multiscale modeling and characterization of granular matter: From grain kinematics to continuum mechanics
By José E. Andrade, C. Ávila, S. Hall, N. Lenoir, Gioacchino Viggiani. 2011
183 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Management, Monitoring, Policy and Law, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/efd3a4ebbb6674d1da896a9fdf8e6dac03ae06e4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Jidong Zhao
- N. Guo
- Gioacchino Viggiani
- José E. Andrade
- Hongyang Cheng
- Haruyuki Yamamoto
- Edward Andò
- Reid Kawamoto
In Management, Monitoring, Policy and Law
- Jidong Zhao
- Edward Andò
- Reid Kawamoto
- Gioacchino Viggiani
- José E. Andrade
- Hongyang Cheng
- N. Guo
- Haruyuki Yamamoto
In Mechanics of Materials
- Edward Andò
- Reid Kawamoto
- Gioacchino Viggiani
- José E. Andrade
- Hongyang Cheng
- N. Guo
- Haruyuki Yamamoto
- Jidong Zhao
Citations in the corpus
- A coupled FEM/DEM approach for hierarchical multiscale modelling of granular media (2014, background): “Andrade and coworkers [15, 21, 22] more recently developed an interesting bridging scheme to simulate strain localisation problems in granular media.”
- The signature of shear-induced anisotropy in granular media (2013, unknown): “The current study constitutes a first step towards developing statistical mechanics-based plasticity models for granular materials, which bears some similarities to the concept of multiscale modelling or macro–micro bridging [52,27,3].”
- Level set discrete element method for three-dimensional computations with triaxial case study (2016, methodology): “Another area in which LS-DEM could be applied is in multiscale methods, such as the one developed and implemented in Andrade et al. (2011) and Lim et al. (2015), or using LSDEM to infer continuum quantities such as dilatancy and macroscopic friction angle to shed light on how these continuum…”
- Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, background): “From just a few micromechanical parameters, DEMcan provide comprehensive cross-scale insights [2,6,15,42] that are difficult to obtain in either stateof-the-art experiments or sophisticated continuum models.”