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306   Ch a p t e r  N i n e


                                    Experiment    DEM
                                      Irregular   Irregular  % Relative   DEM  % Relative
              Results                 Particle   Particle   Diff.   Sphere     Diff.
              Vertical contraction(mm)  9.800     9.230     5.816   12.300    25.510
              Radial dilation(mm)       0.780     0.730     6.410    1.090    39.744
              Global volume strain     –0.041    –0.039     4.368   –0.044     6.652
              Change of porosity        0.024     0.023     5.859    0.027    13.858
              TABLE 9.7  Macroscopic properties by DEM simulation and experimental measurements.



                 The comparison between the simulated macro-properties and the experimental re-
              sults is presented in Table 9.7. The consistency between the simulation results based on
              irregular particles with those of experimental observations suggests that the DEM simula-
              tion incorporating particle shapes is a valid approach to predict the deformation of granu-
              lar materials. Although DEM simulation using spheres may have acceptable overall mac-
              roscopic results, it cannot predict the kinematics of particles at the microscopic levels.

              9.4.2  Simulation of Direct Shear Test and Shear Banding
              Shear localization is a phenomenon encountered in granular materials when the defor-
              mation localizes suddenly into a narrow zone, and the shear stress reaches a peak value
              and then drops sharply to a residual state. In engineering practice, Coulomb’s failure
              law is usually assumed to govern the evolution of the shear band; however, it may not
              truly describe the mechanism of shear banding. In fact, the basic micromechanism lead-
              ing to the formation of a shear band is not well understood, even though research has
              been carried out in this area by both experimental studies and numerical methods for
              more than two decades (Cundall et al., 1982; Yoshida et al., 1994; Oda and Kazama,
              1998; Iwashida and Oda, 1998).
                 DEM has been increasingly used in the study of the behavior of granular materials
              because of its ability to investigate granular materials at the microscopic level since the
              1970s (Cundall and Strack, 1979; Ghaboussi, 1990; Thornton, 1992). Though it has been
              recognized as a promising tool, the difficulty in modeling the real microstructures has
              limited DEM’s application. Most of the historical DEM simulations were performed
              using idealized particle systems such as spheres and ellipsoids (Cundall and Hart, 1992;
              Routhenberg, 1989; Lin and Ng, 1997). Though efforts have been made to simulate
              polygon-shaped particles or computer-generated irregular particles (Ni et al., 2000;
              Mirghasemi et al., 2002; Golchert, 2004), few DEM codes were developed based on the
              real microstructure of a material. Furthermore, the accuracy of those simulation results
              was unknown because almost no experimental measurements of the micro-quantities
              were available, and the validity of a numerical model is doubtful if there are no corre-
              sponding experimental data to support the simulation results. The 3D clustering DEM
              model presented in previous sections incorporated the real microstructure acquired by
              X-ray tomography imaging technology. The capability of the model was evaluated by
              the experimental observations at both micro- and macro-scales.

              9.4.2.1  Materials and Experimental Setup
                                                                          3
              Crushed river gravel that passed the ½ in sieve and was retained on the  ⁄8 in sieve was
              used in this example. The rock’s physical properties are presented in Table 9.8. A Direct
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