Assessment of fabric characteristics with the development of sand liquefaction in cyclic triaxial tests: A DEM study

This paper studies fabric properties with the evolution of sand liquefaction by performing a series of 3D constant -volume cyclic triaxial DEM tests. With calibrated parameters for HN31 sand, the consistency between the obtained DEM results and the counterpart experiments is presented. The evolution of fabric characteristics is then assessed with the coordination number and mechanical coordination number, respectively. For liquefaction is-sues, the conventional coordination number outperforms the mechanical one since the floating particles with the number of contacts less than or equal to 1 can be fully considered. To analyse the complex inter-particle contacts in a granular assembly, the second-order contact normal fabric tensor is briefly introduced with its important mathematical properties. The second invariant of its deviatoric part can prove to be a proper index describing the degree of anisotropy in the principal fabric space spanned by the three eigenvectors belonging to this tensor. Following the direction of the applied loading, the fabric anisotropy accumulates in a gradual manner and finally reaches a threshold value corresponding to liquefaction triggering on the macro scale. This value is fabric -dependent and thus independent of loading intensity. For gaining a complete insight of sand liquefaction on both the micro and macro scales, the shear strain can act as a bridge to describe the evolution of coordination number and the anisotropy degree, respectively.

Automated summary

This paper studies the fabric properties during sand liquefaction using 3D constant-volume cyclic triaxial DEM tests. The results show good consistency with experimental data. The evolution of fabric characteristics is assessed using the coordination number and mechanical coordination number. The second-order contact normal fabric tensor is introduced to analyze complex inter-particle contacts and the shear strain is used as a bridge to describe the evolution of coordination number and anisotropy degree.