Anisotropic Critical State Theory: Role of Fabric

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SANISAND‐FN: An evolving fabric‐based sand model accounting for stress principal axes rotation (2018, unknown): “C(g(θ),Nα) = [ g(θ) − [ g(θ) − 1 ] |Nα|50]hN , (22)”
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning (2018, background): “…literature on fabric tensor and critical state theory to deduce that the porosity and fabric tensor can be used as state variables to improve the forward prediction accuracy of the traction-separation law (cf. Fu and Dafalias [2011], Li and Dafalias [2011], Sun [2013], Wang and Sun [2016]).”
A coupled FEM/DEM approach for hierarchical multiscale modelling of granular media (2014, background): “Recent progresses in continuum modelling of granular materials enable us to capture features such as fabric anisotropy and fabric evolution [1, 2], noncoaxiality [3–6] and strain localisation [7].”
The signature of shear-induced anisotropy in granular media (2013, background): “Interestingly, all three states correspond to zero-dilatancy in granular materials, but they point to entirely different underlying mechanisms which are considered closely related to anisotropy [26,58].”